diff --git a/README.md b/README.md index 4d3ab900..02cce13f 100644 --- a/README.md +++ b/README.md @@ -1,56 +1,60 @@ # Conveyal Analysis -This is the server component of [Conveyal Analysis](http://conveyal.com/), which allows users to create transportation scenarios and evaluate them in terms of cumulative opportunities accessibility indicators. +This is the server component of [Conveyal Analysis](http://conveyal.com/analysis), which allows users to create public transport scenarios and evaluate them in terms of cumulative opportunities accessibility indicators. -**Please note** that the Conveyal team does not provide technical support for third-party deployments. We provide paid subscriptions to a cloud-based deployment of this system, which performs these complex calculations hundreds of times faster using a compute cluster. This project is open source primarily to ensure transparency and reproducibility in public planning and decision making processes, and in hopes that it may help researchers, students, and potential collaborators to understand and build upon our methodology. - -## R5 Routing Engine: Rapid Realistic Routing on Real-world and Reimagined networks - -Conveyal Analysis relies on R5, our routing engine for multimodal (transit/bike/walk/car) networks. It is intended primarily for analysis applications (one-to-many trees, travel time matrices, and cumulative opportunities accessibility indicators). R5 is included as a module in this repository. Prior to June 2020, it was developed in a [separate repository](https://github.com/conveyal/r5). - -We refer to the routing method as "realistic" because it works by planning many trips at different departure times in a time window, which better reflects how people use transportation system than planning a single trip at an exact departure time. - -We say "Real-world and Reimagined" networks because R5's networks are built from widely available open OSM and GTFS data describing baseline transportation systems, but R5 includes a system for applying light-weight patches to those networks for immediate, interactive scenario comparison. - -## Methodology - -For details on the core methods implemented in Conveyal Analysis and R5, see: - -* [Conway, Byrd, and van der Linden (2017)](http://hdl.handle.net/2286/R.A.218654) -* [Conway, Byrd, and van Eggermond (2018)](https://www.jtlu.org/index.php/jtlu/article/view/1074) -* [Conway and Stewart (2019)](https://files.indicatrix.org/Conway-Stewart-2019-Charlie-Fare-Constraints.pdf) - -### Citations - -The Conveyal team is always eager to see cutting-edge uses of our software, so feel free to send us a copy of any thesis, report, or paper produced using this software. We also ask that any academic publications using this software cite the papers above, where relevant and appropriate. +**Please note** that Conveyal does not provide technical support for third-party deployments of Analysis. We provide paid subscriptions to a cloud-based deployment of this system which performs these complex calculations hundreds of times faster using a compute cluster. This project is open source primarily to ensure transparency and reproducibility in public planning and decision making processes, and in hopes that it may help researchers, students, and potential collaborators to understand and build upon our methodology. ## Configuration -It is possible to run a Conveyal Analysis UI and backend locally (e.g. on your laptop), which should produce results identical to those from our hosted platform. However, the computations for more complex analyses may take quite a long time. Extension points in the source code allow the system to be tailored to cloud computing environments to enable faster parallel computation. - -### Running Locally - +Conveyal Analysis can be run locally (e.g. on your laptop) or on Amazon Web Services EC2 instances, depending on the +configuration set in analysis.properties. With extensions requiring software development skills, it could be modified +to run in other cloud-computing environments. + To get started, copy the template configuration (`analysis.properties.tmp`) to `analysis.properties`. -To run locally, use the default values in the template configuration file. `offline=true` will create a local instance -that avoids cloud-based storage, database, or authentication services. By default, analysis-backend will use the `analysis` database in a local MongoDB instance, so you'll also need to install and start a MongoDB instance. +To run locally, use the default values in the template configuration file. `offline = true` will create a local instance +that avoids cloud-based storage, database, or authentication services. To run regional accessibility analyses (as +opposed to single-point isochrone analyses), you will need to set up an AWS S3 bucket and set the value of `results_bucket`. +By default, analysis-backend will use the `analysis` database in a local MongoDB instance, so you'll also need to +install and start a MongoDB instance. -Database configuration variables include: +To run on the cloud, we use Auth0 for authentication and S3 for storage; configure these services as needed, then set +the corresponding variables including: +- `auth0-client-id`: your Auth0 client ID +- `auth0-secret`: your Auth0 client secret - `database-uri`: URI to your Mongo cluster -- `database-name`: name of the database to use in your Mongo cluster +- `database-name`: name of project database in your Mongo cluster +- `frontend-url`: URL of the analysis-ui frontend (see below) +- `bundle_bucket`: S3 bucket for storing GTFS bundles and built transport networks +- `grid_bucket`: S3 bucket for storing opportunity dataset grids +- `results_bucket`: S3 bucket for storing regional analysis results + +You will need S3 credentials set up in your environment or in `~/.aws` for an identity that is allowed to access all the +buckets above. If you have multiple profiles, you can use the `AWS_PROFILE` variable in the environment to choose which +AWS credentials profile will be used. ## Building and running Once you have configured `analysis.properties` and started mongo locally, build the application with `mvn package` and -start it with `java -Xmx2g -cp target/shaded/vX.Y.Z.jar com.conveyal.analysis.BackendMain` +start it with `java -Xmx2g -jar target/analysis.jar` -Next, follow the instructions to start the [analysis-ui frontend](https://github.com/conveyal/analysis-ui). Once that -is running, you should be able to log in without authentication (using the frontend URL, e.g. http://localhost:3000). +Next, follow the instructions to start the [analysis-ui frontend](https://github.com/conveyal/analysis-ui) . Once that +is running, you should be able to log in without authentication (using the frontend URL, e.g. http://localhost:9966). +Note that the default value of the analysis-backend `frontend-url` variable is a prebuilt copy of the frontend that +relies on Conveyal's authentication setup; in general this will not work with local installations, so this value should +be ignored. ## Creating a development environment -In order to do development on the frontend or backend, you'll need to set up a local development environment. We use [IntelliJ IDEA](https://www.jetbrains.com/idea/). The free/community edition is sufficient for working on Conveyal Analysis. Add analysis-backend to IntelliJ as a new project from existing sources. You can then create a run configuration for `com.conveyal.analysis.BackendMain`, which is the main class. You will need to configure the JVM options and properties file mentioned above. +In order to do development on the frontend, backend, or on [R5](https://github.com/conveyal/r5), which we use for +performing the analyses, you'll want a local development environment. We use [IntelliJ IDEA](https://www.jetbrains.com/idea/) +(free/community version is fine) and add analysis-backend as a new project from existing sources. We also typically clone +R5 with `git`, then use the green plus button in the Maven panel to add R5 as a Maven Project within the same IntelliJ project. +Check to make sure that the version of R5 matches the version specified in the analysis-backend `pom.xml`. + +You can then create a run configuration for `com.conveyal.analysis.BackendMain`, which is the main class. You will need to +configure the options mentioned above. ## Structured Commit Messages @@ -58,7 +62,7 @@ We use structured commit messages to allow automated tools to determine release The first line of these messages is in the following format: `(): ` -The `()` is optional and is often a class name. The `` should be in the present tense. The type should be one of the following: +The `()` is optional. The `` should be in the present tense. The type should be one of the following: - feat: A new feature from the user point of view, not a new feature for the build. - fix: A bug fix from the user point of view, not a fix to the build. @@ -66,9 +70,7 @@ The `()` is optional and is often a class name. The `` should be - style: Formatting, semicolons, brackets, indentation, line breaks. No change to program logic. - refactor: Changes to code which do not change behavior, e.g. renaming a variable. - test: Adding tests, refactoring tests. No changes to user code. -- build: Updating build process, scripts, etc. No changes to user code. -- devops: Changes to code that only affect deployment, logging, etc. No changes to user code. -- chore: Any other changes causing no changes to user code. +- chore: Updating build process, scripts, etc. No changes to user code. The body of the commit message (if any) should begin after one blank line. If the commit meets the definition of a major version change according to semantic versioning (e.g. a change in API visible to an external module), the commit message body should begin with `BREAKING CHANGE: `. diff --git a/docs/fares/fareto.png b/docs/fares/fareto.png new file mode 100644 index 00000000..445728eb Binary files /dev/null and b/docs/fares/fareto.png differ diff --git a/docs/fares/index.md b/docs/fares/index.md new file mode 100644 index 00000000..75f9808f --- /dev/null +++ b/docs/fares/index.md @@ -0,0 +1,12 @@ +# In-routing fare support + +Conveyal Analysis supports computing fares within the routing algorithm, which allows the routing algorithm to find not only the fastest path, but all Pareto-optimal tradeoffs between travel time and fare (the cheapest route is always to walk, unless free transit is available, so generally just finding the cheapest route is undesirable). For instance, here are the Pareto-optimal options for travel from Salem, Massachusetts to Copley Square in Boston: + +![Example Pareto surface for travel from Salem to Copley. The fastest option is to take the Newburyport/Rockport line followed by the Green Line. Slightly cheaper and quite a bit longer is to take the Newburyport/Rockport line followed by two buses. Much cheaper is an express bus followed by the green line, and cheapest is a bus to the blue line to the orange line. Each subsequent option takes longer than the last.](fareto.png) + +Finding cheapest paths is implemented in the McRAPTOR (multi-criteria RAPTOR) router, since this is a multi-objective optimization problem. Correctly finding cheapest paths is a challenging problem, due to discounted transfers. It may make sense to take a more expensive and/or slower option at the start of your trip, if it provides a discounted transfer to a service you will take later. However, since the router does not know what transit routes will be ridden in later rides, this presents a challenge. We introduce a "transfer allowance" that tracks these possible discounts; full details are available in [this IJGIS paper](https://files.indicatrix.org/Conway-Stewart-2019-Charlie-Fare-Constraints.pdf). + +Unfortunately, while there is a common data format for transit timetables (GTFS), no such format exists for fares. GTFS does include two different fare specifications (GTFS-fares and GTFS-fares v2), but they are not able to represent complex fare systems. As such, unless and until such a specification becomes available, Conveyal Analysis includes location-specific fare calculators for a number of locations around the world. They have their own documentation: + +- [New York](newyork.html) +- Boston (documentation coming soon) diff --git a/docs/fares/newyork.md b/docs/fares/newyork.md new file mode 100644 index 00000000..3b7df041 --- /dev/null +++ b/docs/fares/newyork.md @@ -0,0 +1,344 @@ +# New York in-routing fare calculation + +The `NYCInRoutingFareCalculator` provides fare calculation for transit agencies in the New York metropolitan area. Due to the contract it was developed for, it only provides fare calculation for areas in New York State, and east of the Hudson River. Specifically, it calculates fares for the following agencies: + +- MTA New York City Bus (all boroughs, and Bus Company) +- MTA New York City Subway +- MTA Staten Island Railway +- MTA Long Island Rail Road +- MTA Metro-North Railroad +- Nassau Inter-County Express (NICE) +- Suffolk County Transit +- Westchester Bee-Line +- NYC Ferry +- AirTrain JFK + +## Algorithm details + +The algorithm assigns every pattern in the feeds to a pattern type. During fare calculation, the pattern type sequences are used to assign fares and discounted transfers. Algorithm details for specific services are below. Some resources, such as scraped fares and stop to zone mappings, are stored as resources within `analysis-internal`, meaning that updating the GTFS from the December 2019 version used herein may cause some things to break. There is some error checking, but IDs in files in the `src/main/resources/fares/nyc` folder as well as hard-coded in `NYCStaticFareData.java` should be carefully checked if GTFS is ever updated. Additionally, all GTFS was merged together for this project, using the `Merge All Feeds` notebook (available separately), for historical reasons. Some feeds were modified before being added to the merged feed (see documentation below). + +### MetroCard services + +MetroCard services are all handled in a similar way. When a MetroCard-based service is first boarded, the service that was boarded is recorded. At a subsequent boarding of a MetroCard-accepting service, this information is cleared. If the new service allows a free or discounted transfer from the previous service, that discounted transfer is honored; otherwise a new ticket is purchased, and the new service replaces the previous service as the MetroCard transfer source (we assume that the Metrocard can only hold one transfer at a time, although there are edge cases where this may not provide the cheapest trip—see "edge cases" section below). There are special cases to allow a second discounted transfer on NICE and Suffolk County routes; see specific sections below. + +MetroCard transfer allowances are assumed to expire two hours after they are first purchased. We assume that you only need to _board_ the final vehicle within two hours, not necessarily _alight_ from it, since the system does not actually know when you leave the system. + +After calculating the fare for a journey prefix, if there is still a MetroCard-based service recorded as a transfer allowance source (i.e. it has not been cleared by a subsequent boarding), this is added as a field in the transfer allowance. Transfer allowances with different MetroCard sources are considered incomparable (while some may be strictly better than others, defining such a "pecking order" complicates the algorithm, and treating them as incomparable does not affect tractability). In addition to the MetroCard transfer source, the transfer expiry is recorded (although this is generally past the max clock time of the analysis, and is thus re-set to improve algorithm performance, as described in the last paragraph of Section 3.4 of [Conway and Stewart, 2019](https://files.indicatrix.org/Conway-Stewart-2019-Charlie-Fare-Constraints.pdf)). Additionally, whether the last ride ended within the subway fare gates is recorded, and this information is updated at transfers, since being inside subway fare gates provides cheaper onward journeys when you can make a free transfer to another subway train. + +The maximum transfer allowance from MetroCard services is $3 for most services (due to the $3 discount on express buses), $6.75 for express buses (free transfer to another express bus), $2.25 from Suffolk County Transit routes ($0.50 step-up needed for NICE), and $2.50 from Suffolk County routes after a transfer slip has been purchased ($2.50 discount off NICE buses). + +#### MTA Local Bus and Westchester Bee-Line + +The same fare rules and MetroCard transfer types are used for all MTA local buses, as well as the Westchester Bee-Line local bus routes (and the Roosevelt Island Tram, which has to be added to the TransportNetwork using a modification). Free transfers are accepted from other local buses, express buses, the subway, NICE buses assuming the transfer has not already been used once, and the Staten Island Railway. Once a free transfer to a local bus has occurred, the transfer allowance is cleared. + +##### Edge cases + +There are a number of special cases with the MTA Local Bus network that are not handled by the fare calculator. + +###### Disallowed bus-to-bus transfers + +The MTA disallows certain [bus-to-bus transfers](http://web.mta.info/metrocard/termsreg.htm): between any bus route and itself, and between a handful of specific pairs of routes. These are not implemented—the former due to tractability (the transfer every bus route would be incomparable to all others, because we don't know if the router may re-board that route in the future), and the latter due to convenience (too many rules to specify, and would have to create separate transfer allowances for these specific route pairs since they have different transfer privileges). These rules are mostly to prevent people from making a stop and then continuing their trip, which is not what we're modeling, so this limitation should have minimal effect on the results. But it is possible that some trips where it may be optimal to make one of these transfers will be presented with a fare that is too low. + +###### Two-transfer bus routes + +While normally a MetroCard only gets you one transfer, in [a few places (see table note)](https://en.wikipedia.org/wiki/New_York_City_transit_fares#Base_fares) you get two transfers or even three transfers. These transfers are not handled due to the difficulty of specifying the special rules, except for you are able to take a bus to the Staten Island Railway, then the Staten Island Railway, then the ferry, then a local bus or subway in Manhattan, and vice-versa. + +###### Bus routes that end in the subway network + +At Canarsie—Rockaway Parkway station in Brooklyn, it is possible to transfer between bus and subway within fare gates with no fare interaction, because the buses terminate inside the fare gates. This will only matter if there are multiple bus rides. The fare will be calculated correctly for a bus->subway or subway->bus ride because a free transfer will be used, but if there is a bus->bus->subway ride, this will not be charged correctly, because the second transfer is actually free in this case, even though the MetroCard transfer has been used, since there is no fare interaction. Similarly, bus->transfer at Canarsie->subway->bus only requires one fare payment in real life (because no fare interaction occurs at Canarsie), but in this implementation will require two fare payments. + +#### MTA Express Bus + +MTA Express Buses accept "upgrade" transfers from local bus/Bee-Line, subway, the Staten Island Railway, and NICE (documented in the [transfers section](http://www.nicebus.com/NICE/media/NiceBusPDFSchedules/NICE-n4_MapSchedule.pdf) here). The upgrade fare is $3.75 on top of the base fare of $2.75, meaning that it is cheaper ($6.50) to take a local bus and then an express bus than it is to just take an express bus—something that [the router will capitalize on](https://projects.indicatrix.org/fareto-examples/?load=express-bus-local-bus). MetroCards accept [free transfers from other express buses](https://projects.indicatrix.org/fareto-examples/?load=express-bus-transfer), as [documented in the Fare and Tariff manual, page 33](http://web.mta.info/nyct/fare/pdf/NYCTransit_Tariff.pdf). + + +Notably, the router does not allow transfers between two express buses, as these don't seem to be documented anywhere. Additionally, we assume you can only have one MetroCard transfer privilege at a time. For instance, if you ride express->express->local->local, we assume that the second express boarding requires payment of a new fare, which gives you a free transfer to the first local, but that the second local requires a new fare—you can't "save" the transfer from the first express bus. You certainly could if you had two MetroCards, but that's out-of-scope. + +#### MTA Subway + +The MTA Subway accepts free transfers from local buses, express buses, NICE buses assuming the transfer has not already been used once, and the Staten Island Railway. Within-gates transfers are also coded for most stations where they exist (they are not coded for stations only serving a single line as it is assumed changing directions at such a station would never be optimal). Within-gates transfers allow riders to transfer to another line without affecting their transfer allowances, because there is no interaction with the fare system. Within-gates transfers are created by the `NYCT Subway fares` notebook and stored in the `src/main/resources/fares/nyc/mta/subway_transfers.csv` file which lists station names and what "station area"—i.e. within-gates connected platforms—they are a part of. The router will correctly differentiate between routes [with a free behind-gates transfer](https://projects.indicatrix.org/fareto-examples/?load=subway-in-system) and those that [require exiting the gates and paying a new fare](https://projects.indicatrix.org/fareto-examples/?load=out-of-subway). + +There are a few places where MetroCard free transfers are provided to create "virtual" behind-gates transfers ([example](https://projects.indicatrix.org/fareto-examples/?load=junius)). + +#### Staten Island Railway + +Fares on the Staten Island Railway are paid only at St George and Tompkinsville, either on entering or exiting, because it is (or was) assumed that most SIR riders were going to the St George Ferry Terminal. Tompkinsville is very close to St George so fares are collected there as well to prevent people circumventing the fares. Intermediate rides on the SIR [are free](https://projects.indicatrix.org/fareto-examples/?load=sir-free), and do not produce a transfer allowance, nor affect an existing one, since there is no fare interaction. The Staten Island Railway accepts free transfers from local bus/Bee-Line, express bus, subway, and NICE (except after one NICE transfer has already occurred). + +The router will [trade off walking to a free station with paying the fare at the terminus](https://projects.indicatrix.org/fareto-examples/?load=sir-pay-free-tradeoff). + +##### Two transfers between Staten Island Bus, SIR, and Lower Manhattan bus/subway + +If you ride a local bus to the Staten Island Railway, then take the ferry to Manhattan, [you can board any local bus or subway in lower Manhattan for free](http://web.mta.info/nyct/sir/sirfare.htm)—i.e. you get an extra transfer after your first transfer to the SIR. While there are [other places where a second free transfer is provided](https://en.wikipedia.org/wiki/New_York_City_transit_fares), this one is the only one that is implemented in the fare calculator. + +This is operationalized by defining a series of additional transfer sources in the algorithm, similar to how Suffolk and NICE's second transfer system is implemented, but with some additional complexity. First of all, since this extra transfer only works on trips that travel from Staten Island to Manhattan or vice-versa, they are only allowed after riding the Staten Island Ferry (which is free and does not trigger any interaction with fare collection systems). Second, the restrictions on which local buses you can transfer to are not implemented, but they are enforced by only allowing transfers on foot from the Lower Manhattan ferry terminal. For a trip originating on Staten Island and traveling via local bus, Staten Island Railway, Staten Island Ferry, and bus or subway in lower Manhattan, the following sequence of MetroCard transfer sources will be generated: + +1. `METROCARD_LOCAL_BUS` after riding the local bus on Staten Island +2. `LOCAL_BUS_TO_SIR` after riding the Staten Island Railway _and exiting through one of the terminals where the fare is paid_ (this could also be restricted to the St George terminal if desired, but that is not currently implemented). This special transfer allowance does not provide a discount to any service, and is cleared if you ride anything other than the SI Ferry next, but when you ride the Staten Island Ferry, it is exchanged for: +3. `LOCAL_BUS_TO_SIR_TO_SI_FERRY` after riding the ferry. +4. The `LOCAL_BUS_TO_SIR_SI_FERRY` transfer allowance is accepted by any local bus or subway service, but the transfer allowance is cleared implicitly by any other MetroCard service (e.g. express bus), or explicitly if a MetroCard service is not used next (e.g. NYC Ferry) + +Here are examples of using a local bus to the Staten Island Railway to the ferry to [a local bus](https://projects.indicatrix.org/fareto-examples/?load=bus-sir-ferry-bus) and [the subway](https://projects.indicatrix.org/fareto-examples/?load=bus-sir-ferry-subway). + +The reverse case is implemented differently, because the order of the Staten Island Ferry and Staten Island Railway are different. Additionally, in the reverse case, it is not enforced that you get off the subway or local bus near the ferry terminal—there is no way for the MTA to know that anyhow. You can take local bus -> NYC Ferry -> SI Ferry -> SIR -> Local Bus for a single fare, although finding an example that is time-optimal may be impossible. + +Here is how the reverse case would generate transfer sources: + +1. `METROCARD_LOCAL_BUS` or `METROCARD_SUBWAY` after riding the local bus or the subway, respectively. +2. `LOCAL_BUS_TO_SI_FERRY` or `SUBWAY_TO_SI_FERRY` after riding the Staten Island Ferry. These are accepted on any service that accepts a local bus or subway transfer, because the MetroCard doesn't actually know you took the ferry and can't update your transfer allowance based on it. +3. However, if you transfer to the Staten Island Railway _and traverse one of the fare stops_, rather than being consumed, these transfer allowances are converted to a `LOCAL_BUS_OR_SUBWAY_TO_SI_FERRY_TO_SIR` +4. `LOCAL_BUS_OR_SUBWAY_TO_SI_FERRY_TO_SIR` is accepted only by local buses. These have to be local buses on Staten Island, because that's the only local bus you could ride after riding the Staten Island Railway. This transfer allowance is cleared if the transfer from the SIR is not to a local bus, to prevent the router from assembling routes that look like subway -> SI Ferry -> SIR -> SI Ferry -> local bus. + +Here are examples of using a [local bus](https://projects.indicatrix.org/fareto-examples/?load=bus-ferry-sir-bus) and [the subway](https://projects.indicatrix.org/fareto-examples/?load=subway-ferry-sir-bus) to access the ferry, and then changing to the SIR, and then to a local bus. + +###### Other related cases + +To prevent the router from getting a free transfer by doubling back on the SI Ferry, if one of the `*_TO_SI_FERRY` MetroCard transfer allowances is held _on_ the Staten Island ferry, it is re-set to whatever its original type was. To see why this is a problem, consider this route: SI Local Bus -> SI Ferry -> SI Ferry -> SIR -> SI Local Bus. If it were not for this rule, this route would only cost 2.75. But instead, the router does not find this route, but does find a [bus->SIR->bus route entirely on Staten Island, costing $5.50](https://projects.indicatrix.org/fareto-examples/?load=bus-sir-bus-no-ferry) + +Riding the subway or bus to the ferry to something _other_ than the Staten Island Railway should behave exactly as if the ferry had never been ridden at all, and it does: for [bus -> ferry -> bus](https://projects.indicatrix.org/fareto-examples/?load=bus-ferry-bus) and for [subway -> ferry -> bus](https://projects.indicatrix.org/fareto-examples/?load=subway-ferry-bus) and for [bus -> ferry -> subway](https://projects.indicatrix.org/fareto-examples/?load=bus-ferry-subway). + +##### Other edge cases + +We assume that a trip from Tompkinsville to St George requires two fare payments, although this isn't documented. A transfer from a bus can only be used for one of them. They are so close together this shouldn't affect results much. + +#### NICE + +NICE buses behave very similar to local buses, with [a few caveats](https://www.vsvny.org/vertical/sites/%7BBC0696FB-5DB8-4F85-B451-5A8D9DC581E3%7D/uploads/NICE-n1_Maps_and_Schedules.pdf). They accept a single transfer from any other MetroCard service. They accept _two_ free transfers from NICE, which is handled by creating a special NICE_ONE_TRANSFER MetroCard transfer allowance source that is set as the source after a single NICE->NICE transfer, and is only accepted by another NICE bus. Transfers from Suffolk Transit to NICE cost $0.25, plus you have to buy a transfer slip from Suffolk Transit for $0.25. If the transfer slip is already purchased due to a previous Suffolk-Suffolk transfer, [a $0.25 surcharge is applied and the transfer allowance is cleared](https://projects.indicatrix.org/fareto-examples/?load=suffolk-suffolk-nice). If the transfer slip is not purchased, [a total of $0.50 is charged (for the slip and the upgrade fare), and the transfer allowance fare](https://projects.indicatrix.org/fareto-examples/?load=suffolk-nice). This means you can do Suffolk-Suffolk-NICE but not Suffolk-NICE-NICE for a single fare. [This Wikipedia article](https://en.wikipedia.org/wiki/Suffolk_County_Transit#cite_note-Suffolk_County_Transit_Fares-17) suggests that a _separate_ Suffolk-NICE transfer slip exists, but I can't find that documented anywhere official, so I've gone with the approach described above. If a Suffolk-NICE transfer slip did exist, the fare for Suffolk-Suffolk-NICE is probably $2.25 Suffolk base fare + $0.25 Suffolk transfer slip + $0.50 NICE transfer slip, so the router would understate the fare for this trip by $0.25. [This route](https://projects.indicatrix.org/fareto-examples/?load=suffolk-nassau) demonstrates the Suffolk to NICE transfer. + +The router correctly handles that you can ride [three NICE buses for one fare](https://projects.indicatrix.org/fareto-examples/?load=nice-three-rides), but can only get a free ride on the MTA [after one transfer](https://projects.indicatrix.org/fareto-examples/?load=nice-to-mta), not [after two](https://projects.indicatrix.org/fareto-examples/?load=nice-nice-to-mta). + +NICE buses all specify [which lines you can connect to](https://www.vsvny.org/vertical/sites/%7BBC0696FB-5DB8-4F85-B451-5A8D9DC581E3%7D/uploads/NICE-n1_Maps_and_Schedules.pdf). This is ignored, but is approximated by clearing the transfer allowance if a non-MetroCard service is ridden—so you [can't for example ride NICE -> LIRR -> NICE and get a free transfer to the second NICE ride](https://projects.indicatrix.org/fareto-examples/?load=nice-three-rides). + +#### Suffolk + +Suffolk County Transit fares are implemented as if they used the MetroCard system, even though they don't, but this should be fine and simplifies implementation. The only reason this would be a problem would be if you had a MetroCard transfer that you wanted to hold on to but ride a Suffolk County route in between, e.g. take a local bus in Queens, then ride the LIRR out to Suffolk County, ride the bus, take the LIRR back, and get your free transfer to the subway. Might make for a fun outing, but not something that would be done on an optimal trip (and may not even be possible within the two-hour validity period). + +Suffolk County Transit accepts and consumes a free transfer from NICE (not the second transfer), or from another Suffolk County route. Two transfers are allowed on a Suffolk County route—to get a transfer, you have to purchase a transfer slip for $0.25, which then gets you two transfers (to either NICE or Suffolk, see above). Similar to NICE, this is handled by setting a special SUFFOLK_ONE_TRANSFER MetroCard source. It's not clear whether transfers are accepted from MTA; [this Wikipedia article](https://en.wikipedia.org/wiki/Suffolk_County_Transit#cite_note-Suffolk_County_Transit_Fares-17) says they are, but it's not in the link cited. Since Suffolk doesn't use MetroCard, I don't see how they would be (although the Wikipedia article says you can use MetroCard on Suffolk Transit with advance notice?). NICE will [still issue a paper transfer](https://www.nicebus.com/Fares-Passes/Learn-more-about-fares-and-passes), presumably for transfer to Suffolk Transit. + +[This route](https://projects.indicatrix.org/fareto-examples/?load=suffolk) demonstrates a Suffolk County Transit trip with two transfers—one for $0.25, and a second for free. This route [demonstrates a free transfer from NICE to Suffolk](https://projects.indicatrix.org/fareto-examples/?load=nice-suffolk) + +### BxM4C + +The BxM4C (Westchester-Manhattan Express) route has a special fare with no free/discounted transfers. It does not affect any existing MetroCard transfer allowances either, though in practice it might since you can pay with a MetroCard. However, this is undocumented. + +### Airtrain JFK + +Airtran JFK has a flat fare, paid on boarding or alighting at the two stops that connect to the subway (Jamaica and Howard Beach). There are no discounted transfers. + +### Staten Island Ferry + +The Staten Island Ferry is free. It does not affect transfer allowances. + +### NYC Ferry + +The NYC Ferry service costs $2.75 and does not affect transfer allowances, because there are no discounted transfers. + +### NYC Ferry shuttles + +NYC Ferry also runs free shuttle buses. These do not affect transfer allowances. I can't find anywhere where it says that these can only be used in conjunction with a ferry, and enforcing that would be tricky anyhow. Pickup_type and dropoff_type is 0 at all stops, but we could change that to only allow pickups/dropoffs at the ferry terminal. + +### Metro-North Railroad + +No transfers are allowed between lines, except in Connecticut, it appears---Metro-North won't sell you a ticket from Port Chester to Wakefield, for example. Since we're dropping CT, just have standard fares with no transfers. Note that the Metro-North also operates ferries and buses, but these are not included in the GTFS. All service in Connecticut is dropped by the `Drop Services from Metro-North Feed` notebook. This notebook also splits the routes into peak and off-peak versions, forcing them into separate patterns, which allows the routing algorithm to correctly trade off waiting for an off-peak train to save money, as documented in Section 5 of [Conway and Stewart, 2019](https://files.indicatrix.org/Conway-Stewart-2019-Charlie-Fare-Constraints.pdf). + +#### Background + +The MNR uses a zone-based fare system, but the zones are not well publicized, so I treat it as a stop-to-stop fare system, and scrape fares from [the Metro-North fare calculator](http://as0.mta.info/mnr/schedules/sched_form.cfm). Metro-North doesn't say much about transfers, but since not every train stops at every stop, so you might need to transfer to reach a specific stop. However, it seems that you [can't transfer from the Harlem/Hudson to New Haven lines](http://www.iridetheharlemline.com/2010/09/22/question-of-the-day-can-i-use-my-ticket-on-other-lines/), even though it could make sense to do so at certain times. For instance, a trip from Mamaroneck (NH line) to Trenton (Harlem line) doesn't require a change of direction, but nevertheless the MTA won't sell you a ticket for this trip. + +`mnr_fares.csv` in R5 (`src/main/resources/fares/nyc/mnr/`) contains fares for all station pairs on each line. It is created by the `Metro-North Fare Scraping` notebook, which uses a graph search algorithm to find all "downstream" stations from each stop on each line in each direction (it actually treats the Harlem/Hudson as a single line, but this shouldn't matter since there shouldn't actually be optimal changes between them, and even if there were, this would just mean some extra fares were retained). + +#### Algorithm + +As with most services in the NYC graph, there are two linked but distinct parts of the algorithm: the fare computation engine and the transfer allowance comparison algorithm. + +##### Fare computation + +When the Metro-North is first boarded, the board stop, line, and peak/off-peak is recorded. If the next ride is on Metro-North, one of two things happens: + +1. If the direction and line of the ride match the previous ride, the previous ride is extended to the destination of this ride, and the fare is calculated accordingly. This allows people to change from express to local, or electric to diesel, service if required. If this ride is peak, and the previous wasn't, the ticket type is set to peak. This does mean that the algorithm will prevent someone from combining peak and off-peak tickets to save money. **However, the algorithm _will_ do things like ride a throwaway bus or walk to the next stop to force such a combination, if it is cheaper,** because of the difficulty of handling negative transfer allowances (see notes in fare scenarios section for more on this). Fixing this undesired behavior is tricky. +2. If the direction and line do _not_ match the previous ride, the fare is paid for the previous ride, and a new ride is started. + +If at any point the path leaves the MNR system, either by taking another transit vehicle or walking to another stop, the MNR ride is ended and the fare is paid. This is part of what causes the undesired behavior described above. + +##### Transfer allowance + +A Metro-North transfer allowance contains four items: +- The board stop +- The direction (0/1 corresponding to outbound/inbound) +- Whether a peak train has been ridden (if a peak train is ridden anywhere on a single ticket, that ticket must be a peak ticket) +- The line (Harlem, Hudson, or New Haven—with all the New Haven branches folded into the New Haven line) + +If any of these are not equal when comparing two MNR transfer allowances, both paths are retained. This will retain more paths than strictly necessary, but the Metro-North system is small enough it remains tractable and it's not worth spending more expensive development time to save miniscule amounts of cheap computing time. + +- Since fares are determined by the board stop and the (ultimate) alight stop, which is not known, boarding at a different stop could yield a different level of discount on the full trip +- There are no free transfers when changing direction, so an inbound transfer allowances covers a completely disjoint set of services from an outbound one +- Either a peak or an off-peak transfer allowance could yield the cheapest trip + - A peak transfer allowance could offer a larger discount on a later ride on a peak train, because the user would not have to pay the delta between offpeak and peak for the segment they've already ridden + - An offpeak transfer allowance could yield a larger discount on an off-peak train, because the rider won't have to pay the peak fare for that train (recall that peak/off-peak fares are at the ticket level, not the train level—a ticket that uses _any_ peak trains must be a peak ticket) +- There are [no free transfers](http://www.iridetheharlemline.com/2010/09/22/question-of-the-day-can-i-use-my-ticket-on-other-lines/) for one-way ticket holders between the New Haven and Harlem/Hudson lines. At least based on that post, you can transfer between the Harlem and Hudson lines (or you could in 2009), but those lines only share two stops—Harlem-125th and Grand Central—so it's not clear why you would. + +Note that having a Metro-North transfer allowance is not always advantageous—it may be cheaper to get on at a later stop, rather than continuing an existing ride. + +### Long Island Rail Road + + + +Calculates fares for and represents transfer allowances on the MTA Long Island Rail Road. One nice thing is that the LIRR is a small +network, so we can be kinda lazy with how many journey prefixes get eliminated - we only consider journey prefixes comparable +under the more strict domination rules (Theorem 3.2 in the paper at https://files.indicatrix.org/Conway-Stewart-2019-Charlie-Fare-Constraints.pdf) +if they boarded at the same stop, alighted at the same stop, used the same stop to transfer from inbound to outbound +(if there was an opposite-direction transfer), and used the same combination of peak/offpeak services. Out of laziness, we set the maximum transfer allowance for any LIRR ticket to the maximum fare on the LIRR - we know it can't be more than that, and it's okay if it's a loose upper bound (see the Metro-North section for more info on why this is okay.) + +In order to properly handle peak and off-peak fares, the notebooks preparing LIRR data split LIRR routes into peak and off-peak versions, as with Metro-North. Unfortunately, the LIRR does not flag trips as peak or off-peak in their GTFS, so we guess which trips are peak/off peak based on arrival times at the New York terminals, and assume that trains that don't go to New York City are off-peak. This is not perfect, but since peak and off-peak fares are the same outside New York City, it's pretty close. + +LIRR fares are really complicated, because of complex and undocumented transfer rules. The fare chart is available at +http://web.mta.info/lirr/about/TicketInfo/Fares.htm, but it does not include anything about fares where you have to ride +inbound and then outbound (for instance, based on the fare chart, Montauk to Greenport on the eastern end of Long +Island are both in Zone 14, and thus should be a $3.25 fare, but to get between them, you have to ride at least to +Bethpage (Zone 7). So there must be a more expensive fare, because otherwise anyone who was going from Montauk to Babylon, +say, would just say they were planning to transfer and go back outbound. + +LIRR deals with this situation by specifying via fares. They have no documentation on these that I can find, so I +scraped them from their fare calculator at lirr42.mta.info. For the Montauk to Greenport trip described above, for +example, the fare calculator returns that a trip via Jamaica is 31.75 (offpeak), and a trip via Hicksville is 28.00 +(offpeak). This is still ambiguous - what if you make a trip from Montauk to Greenport but change at Bethpage instead +of Hicksville? We are assuming that in this case, you would be able to use the via fare for Hicksville. + +If there is a +via fare for a station specified, we assume that it can also be used for any station closer to the origin/destination +than the via station. We define closer as being that that station is reachable from the via station via only outbound +trains in the common Inbound-Outbound transfer case, and reachable via only inbound trains in the rare Outbound-Inbound +case. If there is no via fare specified, we use two one-way tickets. (The second ticket may be a via fare if there is +another opposite direction transfer, for instance Hicksville to Oceanside via Babylon and Lynbrook, but otherwise we +use via fares greedily. For an A-B-C-D trip, if there is a via fare from A to C via B, we will buy an ABC and a CD fare +even if AB and BCD would be cheaper.) + +This is further complicated by the fact that there are other transfers that are not via transfers. For example, to +travel from Atlantic Terminal to Ronkonkoma on LIRR train 2000, you must change at Jamaica. We thus assume that you +can change between any two trains anywhere and as long as you continue to travel in the same direction, it is treated +as a single ride for fare calculation purposes. + +As with Metro-North, we assume that if at any point you leave the LIRR system (walking from West Hempstead to Hempstead, or taking a NICE bus from Bethpage to Massapequa, say), you have to buy a new ticket when you re-board. This does mean that odd routes could result if it is cheaper to purchase two separate tickets for a journey, where the router leaves the LIRR and walks to the next stop so it is allowed to purchase a new ticket. Such behavior has not been observed in testing, but is theoretically possible. + +The LIRR also accepts the [Atlantic Ticket](https://new.mta.info/fares-and-tolls/long-island-rail-road/atlantic-ticket), which is completely separate ticket that saves money on many trips in Queens and Brooklyn. I handled this by patching these fares into the zonal and via fare tables, and changing the zones of the eligible stops. This is done in the `LIRR Atlantic Ticket` ipython notebook. + +The MTA's [Atlantic Ticket website](https://new.mta.info/fares-and-tolls/long-island-rail-road/atlantic-ticket) says: + +> How to use Atlantic Ticket +> 1 .Board any Atlantic Terminal- or Penn Station-bound train (transfer at Jamaica required) at the participating Queens stations: Rosedale, Laurelton, Locust Manor, St. Albans, Queens Village, or Hollis. +> 2. Board any Atlantic Terminal-bound train at Jamaica. +> 3. Board any Atlantic Terminal-bound train at Nostrand Ave and East New York. +> 4. Use a One-Way LIRR ticket to Atlantic Terminal, then use your MetroCard for systemwide travel. Or, for greater savings, purchase the weekly Atlantic Ticket that includes a 7-Day Unlimited Ride MetroCard, so you can transfer to a subway or local bus at Atlantic Terminal and use your MetroCard all week long as often as you wish. + +I think that these are intended to be options, not a list of steps (the numbers make it confusing). Additionally, the numbers imply that you can only use the Atlantic Ticket to travel inbound. That doesn't seem right, so I interpret the instructions above as "you can travel between any of these stations, as long as you don't leave the Atlantic Ticket area, for $5". + +LIRR does say: + +> Can I combine Atlantic Ticket and a regular LIRR ticket? +> No. Atlantic Ticket may not be combined with a regular LIRR ticket for travel to/from any other LIRR stations, including Kew Gardens, Forest Hills, Woodside, and Penn Station + +And this makes sense for a single trip—I can see why they wouldn't want you to ride from Laurelton to Jamaica on an Atlantic Ticket, and then on to Penn Station on a regular LIRR ticket, in a one-seat ride. But how could they possibly keep you from riding from Laurelton to Jamaica on an Atlantic Ticket, _changing at Jamaica_, and then riding on to Penn Station with a regular LIRR ticket? Disallowing that is tricky, both from a fare-enforcement standpoint _and_ from a routing standpoint—so I'm going to assume that a shrewd traveler can get away with combining tickets in this way. The router will only allow this if you're changing directions, otherwise the two rides will be concatenated and treated as a single ride. + +## Fare scenarios + +For the project this fare calculator was originally built for, we had a need to create several fare scenarios relating to Metro-North and the Long Island Rail Road. These are operationalized by adding additional options to the fare calculator, which are described below. Thus, scenarios can be modeled by specifying these options in the `inRoutingFareCalculator` in the `ProfileRequest`. For instance, specifying free transfers from the LIRR to local buses and subways might look like this: + +```json +{ + "fromTime": 24000, + "toTime": 27200, + ... + "inRoutingFareCalculator": { + "type": "nyc", + "lirrMetroCardTransferSource": "METROCARD_LOCAL_BUS" + } +} +``` + +### Free transfers from LIRR/MNR to other Services + +Rather than set up a complete infrastructure for specifying the discounts a rider should receive when transferring from the LIRR or MNR to another service, we allow these commuter rail systems to take on the transfer allowances of any MetroCard service, like a chameleon. Setting the field `lirrMetrocardTransferSource` to `METROCARD_LOCAL_BUS`, for example, means that any transfers that are free or discounted from local buses will also be considered free or discounted from the LIRR, with all the rights, privileges, and honors thereunto appertaining. `metroNorthMetrocardTransferAllowance` is similar. There are many options for what this value can be set to, for a full list see `NYCPatternType.java`. Note that some of the pattern types (e.g. `LIRR_PEAK` or `LIRR_OFFPEAK`) are not Metrocard services and will not yield any discount on future services. + +Consider this LIRR-Subway trip, which [costs $16.75 under current fare policy](https://projects.indicatrix.org/fareto-examples/?load=lirr-subway-base-fare) and only [$14 under a policy with free transfers](https://projects.indicatrix.org/fareto-examples/?load=lirr-subway-fare-scenario) due to saving $2.75 on the transfer to the subway. Note that the transfer allowance after leaving the LIRR is set to `METROCARD_LOCAL_BUS`. + +The Metro-North transfer allowance works the same way. Consider this trip, which [costs $15.50 under current fare policy](https://projects.indicatrix.org/fareto-examples/?load=metro-north-subway-base-fare) but only [$12.75 under a policy with free transfers](https://projects.indicatrix.org/fareto-examples/?load=metro-north-subway-fare-scenario), again due to a $2.75 savings on the transfer. As before, the transfer allowance can be inspected and is set correctly to `METROCARD_LOCAL_BUS`. + +Note that setting the `metrocardTransferSource` to `METROCARD_SUBWAY` is generally _not_ what you want, as it will not allow free transfers to the subway, since there are no free transfers between subway lines (explicitly coded free transfers at the same stop or connected stops excluded). + +### Free transfers from other services to the LIRR/MNR + +Free transfers to the commuter rail system can be specified by including a map `toLirrDiscounts` or `toMetroNorthDiscounts` in the specification of the InRoutingFaceCalculator. This maps from various MetroCard transfer sources to discounts off the Metro-North/LIRR. As before, the MetroCard transfer sources are defined in `NYCPatternType`, but not all are MetroCard transfer sources (e.g. `LIRR_PEAK` is not because the LIRR does not use the MetroCard system) For instance, the following map gives a $2.75 discount off the LIRR for transfers from MTA local bus, subway, or NICE bus: + +```json +{ + "METROCARD_LOCAL_BUS": 275, + "METROCARD_SUBWAY": 275, + "METROCARD_NICE": 275 +} +``` + +Note that the transfer allowance is consumed when boarding the LIRR in this case; it is not possible to carry one of these transfer allowances with you on the LIRR and use it later. For that reason, discounts less than $2.75 may lead to fare _increases_, because you save less on the LIRR than you lose by not using the free transfer later. Even with a discount of $2.75, this may still be the case---if there was a transfer from MTA Local Bus -> LIRR -> Express Bus, instead of getting to save the $3.00 discount on the Express Bus, it is expended for a paltry $2.75 discount on the LIRR. (Recall that a $2.75 local bus fare inexplicably yields a $3 discount off an express bus fare.) + +Here is an example of trip where NICE is used to connect to the LIRR, that [costs $15.25 under current fares](https://projects.indicatrix.org/fareto-examples/?load=nice-lirr-base-fare) and [$12.50 under a fare scenario with a $2.75 discount on the LIRR transferring from NICE](https://projects.indicatrix.org/fareto-examples/?load=nice-lirr-fare-scenario). Note that the fastest trip in both these options does not change price—it is $16.75 in both the baseline and the fare scenario—because it involves two NICE buses before boarding the LIRR, so the transfer allowance is consumed before boarding. Note also that the fare scenario has one additional option—in the baseline it costs the same as the faster, two-transfer option, but due to the lowered fare for a single NICE to LIRR transfer it is now Pareto-optimal. No transfer allowances are changed when `toLirrDiscounts` is set—already-existing transfer allowances mean different things than they did before, but `METROCARD_LOCAL_BUS` allowances _still_ provide the same discounts as each other, even though they now provide discounts off the LIRR. + +An example of this for Metro-North is this ride on the Westchester Bee-Line connecting to Metro-North, which [costs $15.50 in the base scenario](https://projects.indicatrix.org/fareto-examples/?load=bee-line-metro-north-base-fares) and [$12.75 with a discount specified](https://projects.indicatrix.org/fareto-examples/?load=bee-line-metro-north-fare-scenario). + +Note that [_the code explicitly does not allow `toLirrDiscounts` and `lirrMetrocardTransferAllowances` to be used sequentially_](https://projects.indicatrix.org/fareto-examples/?load=lirr-no-second-discounted-transfer), and [similarly for Metro-North](https://projects.indicatrix.org/fareto-examples/?load=metro-north-no-second-discounted-transfer), in keeping with the general philosophy apparent in New York that you get a single free transfer. Note that in both examples no transfer allowance is set after leaving the commuter rail, even though a `metrocardTransferSource` was set—the second free transfer is explicitly prevented. Note than a route that requires two separate ticket purchases on Metro-North _will_ allow a second free transfer (because a new ticket has been purchased), while a route that requires two ticket purchases on the LIRR will _not_, due to implementation details. Ideally the LIRR would work the way Metro-North does but these instances are expected to be rare. + +Similarly, when taking a commuter rail trip that requires purchasing multiple tickets, the discounted transfer will only be applied to the first ticket. For instance, a trip taking a Bee-Line bus to the Hudson line to the Harlem line [saves $2.75 on the first Metro-North ticket, but there is no discount on the second](https://projects.indicatrix.org/fareto-examples/?load=bee-line-metro-north-second-ride-full-price-fare-scenario), compared to the [same trip with base fares](https://projects.indicatrix.org/fareto-examples/?load=bee-line-metro-north-second-ride-full-price-base-fare). In theory this works with the LIRR as well, although I have been unable to find an example that requires two separate tickets. + +Note that it is possible with this tool to create negative transfer allowances, which can cause the cheapest routes not to be found [as equations 4 and 5 of the algorithm assume transfer allowances are nonnegative](https://files.indicatrix.org/Conway-Stewart-2019-Charlie-Fare-Constraints.pdf). If a NICE bus gives a 1.75 discount off LIRR, and LIRR gives a 2.75 discount off local bus, riding the NICE bus before LIRR and foregoing the later discount makes the fare $1 higher than if you had discarded the NICE allowance beforehand. + +### Overriding fares on Metro-North and the Long Island Rail Road + +The other type of modification to the commuter rail system which is possible is to override the fares for specific journeys. This is done through two lists that can be passed to the `NYCInRoutingFareCalculator`: `metroNorthFareOverrides` and `lirrFareOverrides`. The elements of these lists look like this: + +```json +{ + "fromStopId": "east_of_hudson:lirr237", + "toStopId": "east_of_hudson:lirr241", + "peakFare": 275, + "offPeakFare": 275 +} +``` + +Where `fromStopId` is a feed-ID-qualified stop ID for the from stop, `toStopId` is a feed-ID-qualified stop ID for the to stop, and `peakFare` and `offPeakFare` are the fares that should be charged for this stop pair. Note that normal rules about changing lines requiring paying a new fare on Metro-North, multiple consecutive rides in the same direction being treated as a single ride, and so on still apply. + +It is again possible to create negative transfer allowances by doing this, by creating lower fares to intermediate stations such that a trip from A to C costs more than a trip from A to B plus a trip from B to C. However, there is special code to handle this situation in the router; specifically, having an LIRR or MNR transfer allowance is not considered better than not having one, and Theorem 3.1 from [the original paper](https://files.indicatrix.org/Conway-Stewart-2019-Charlie-Fare-Constraints.pdf) is disabled altogether. For instance, for this route in the city fare scenario, [the cheaper option takes the D train to Melrose and then boards a train to North White Plains](https://projects.indicatrix.org/fareto-examples?load=mnr-negative-transfer-allowance-correct), rather than taking Metro-North all the way from Grand Central, to save a few bucks. Without the special code to handle this situation, [this route would not be found](https://projects.indicatrix.org/fareto-examples?load=mnr-negative-transfer-allowance-incorrect)—although this example is somewhat contrived, since I had to set the `metroNorthMetrocardTransferSource` to `METROCARD_SUBWAY` to cause the problem to occur, and the alternate option has the same travel time and fare. + +Note that the router will still do anything in its power to get rid of negative transfer allowances. For instance, it [may ride a bus one stop at Jamaica](https://projects.indicatrix.org/fareto-examples/?load=lirr-negative-transfer-correct). Without the special code that accounts for negative transfer allowances, it will not find that route, [though it will find a similar one that rides the subway twice at Jamaica to clear the transfer allowance and get a new subway allowance](https://projects.indicatrix.org/fareto-examples/?load=lirr-negative-transfer-incorrect) that allows the route to not be dominated by the direct LIRR train when transferring back to Jamaica. + +For instance, to change the fare from North White Plains to Harlem-125th from [$9.75](https://projects.indicatrix.org/fareto-examples/?load=north-white-plains-harlem-125th-base-fare) to [$4](https://projects.indicatrix.org/fareto-examples/?load=north-white-plains-harlem-125th-fare-scenario), you would add this JSON to the `metroNorthFareOverrides`: + +```json +{ + "fromStopId": "east_of_hudson:mnr_76", + "toStopId": "east_of_hudson:mnr_4", + "peakFare": 400, + "offPeakFare": 400 +} +``` + +Similarly, for the LIRR, to change the fare from Hicksville to Penn Station from [$10.25](https://projects.indicatrix.org/fareto-examples/?load=hicksville-penn-station-base-fare) to [$7.10](https://projects.indicatrix.org/fareto-examples/?load=hicksville-penn-station-fare-scenario), you would add this JSON to the `lirrFareOverrides`: + +```json +{ + "fromStopId": "east_of_hudson:lirr92", + "toStopId": "east_of_hudson:lirr237", + "peakFare": 710, + "offPeakFare": 710 +} +``` + +LIRR fare overrides have one additional option, `viaStopId`, to allow overriding via fares as well as direct fares. (Via fares involve an opposite-direction transfer, and are generally discounted from the cost of buying two tickets. However, if the cost of buying two tickets is cheaper than the via fare, the two-ticket fare will be used instead.) For instance, to change the fare from Westbury to St Albans via Jamaica from [$10.50](https://projects.indicatrix.org/fareto-examples/?load=westbury-jamaica-st-albans-base-fare) to [$6.00](https://projects.indicatrix.org/fareto-examples/?load=westbury-jamaica-st-albans-fare-scenario), you would add this to `lirrFareOverrides`: + +```json +{ + "fromStopId": "east_of_hudson:lirr213", + "toStopId": "east_of_hudson:lirr184", + "viaStopId": "east_of_hudson:lirr102", + "peakFare": 600, + "offPeakFare": 600 +} +``` + +Note that via fares are valid for transfers at any station closer to the origin and destination than the station the via fare is specified for. For example, [a via fare for New Hyde Park to Freeport via Penn Station will also apply to New Hyde Park to Freeport via Jamaica](https://projects.indicatrix.org/fareto-examples/?load=lirr-fare-scenario-downstream-xfer). diff --git a/docs/index.md b/docs/index.md index ccfcc5dd..00a21fdb 100644 --- a/docs/index.md +++ b/docs/index.md @@ -1,3 +1,5 @@ # R5 -This is the documentation for r5. \ No newline at end of file +Selected documentation for the Conveyal routing engine (r5). + +More thorough documentation of Conveyal Analysis is available in the analysis-ui repo. \ No newline at end of file diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml index b9bd93de..5a8c8886 100644 --- a/docs/mkdocs.yml +++ b/docs/mkdocs.yml @@ -1,6 +1,6 @@ site_name: r5 -site_url: r5.readthedocs.org -repo_url: https://github.com/conveyal/r5 +site_url: https://r5.readthedocs.org +repo_url: https://github.com/conveyal/analysis-internal site_dir: ../target/mkdocs docs_dir: ../docs -theme: readthedocs \ No newline at end of file +theme: readthedocs diff --git a/docs/static-output.md b/docs/static-output.md index 1d16e25d..1d15f729 100644 --- a/docs/static-output.md +++ b/docs/static-output.md @@ -1,5 +1,7 @@ # Static analysis output +***This file is out of date. For updated technical details on Conveyal static sites, see [this blog post](https://blog.conveyal.com/upgraded-outreach-serverless-transit-accessibility-with-taui-f90d6d51e177)*** + R5 has the capability to output a bunch of flat files when performing an analysis, which can then be stored in (for example) Amazon S3 and used to power front-end applications. The initial goal is to produce entirely static sites for performing accessibility analysis. diff --git a/pom.xml b/pom.xml index e845c40c..075883ab 100644 --- a/pom.xml +++ b/pom.xml @@ -75,9 +75,6 @@ - local-or-worker @@ -85,6 +82,7 @@ shade ${git.commit.id.describe} + @@ -191,13 +189,7 @@ axiom-public-releases Axiom Releases - http://nexus.axiomalaska.com/nexus/content/repositories/public-releases - - - - oba-public - One Bus Away Public - http://nexus.onebusaway.org/nexus/content/repositories/public/ + https://nexus.axiomalaska.com/nexus/content/repositories/public-releases diff --git a/src/main/java/com/conveyal/analysis/components/LocalWorkerLauncher.java b/src/main/java/com/conveyal/analysis/components/LocalWorkerLauncher.java index 0d73f13f..be8699da 100644 --- a/src/main/java/com/conveyal/analysis/components/LocalWorkerLauncher.java +++ b/src/main/java/com/conveyal/analysis/components/LocalWorkerLauncher.java @@ -4,7 +4,7 @@ import com.conveyal.file.FileStorage; import com.conveyal.gtfs.GTFSCache; import com.conveyal.r5.analyst.WorkerCategory; -import com.conveyal.r5.analyst.cluster.AnalystWorker; +import com.conveyal.r5.analyst.cluster.AnalysisWorker; import com.conveyal.r5.streets.OSMCache; import com.conveyal.r5.transit.TransportNetworkCache; import org.slf4j.Logger; @@ -90,7 +90,7 @@ public void launch (WorkerCategory category, WorkerTags workerTags, int nOnDeman if (i > 0) { singleWorkerConfig.setProperty("listen-for-single-point", "false"); } - AnalystWorker worker = new AnalystWorker(singleWorkerConfig, fileStorage, transportNetworkCache); + AnalysisWorker worker = new AnalysisWorker(singleWorkerConfig, fileStorage, transportNetworkCache); Thread workerThread = new Thread(worker, "WORKER " + i); workerThreads.add(workerThread); workerThread.start(); diff --git a/src/main/java/com/conveyal/analysis/components/broker/Broker.java b/src/main/java/com/conveyal/analysis/components/broker/Broker.java index 21b068a6..08023a8e 100644 --- a/src/main/java/com/conveyal/analysis/components/broker/Broker.java +++ b/src/main/java/com/conveyal/analysis/components/broker/Broker.java @@ -6,12 +6,17 @@ import com.conveyal.analysis.components.eventbus.EventBus; import com.conveyal.analysis.components.eventbus.RegionalAnalysisEvent; import com.conveyal.analysis.components.eventbus.WorkerEvent; +import com.conveyal.analysis.models.RegionalAnalysis; import com.conveyal.analysis.results.MultiOriginAssembler; +import com.conveyal.analysis.util.JsonUtil; import com.conveyal.file.FileStorage; +import com.conveyal.file.FileStorageKey; +import com.conveyal.file.FileUtils; import com.conveyal.r5.analyst.WorkerCategory; import com.conveyal.r5.analyst.cluster.RegionalTask; import com.conveyal.r5.analyst.cluster.RegionalWorkResult; import com.conveyal.r5.analyst.cluster.WorkerStatus; +import com.conveyal.r5.analyst.scenario.Scenario; import com.google.common.collect.ListMultimap; import com.google.common.collect.MultimapBuilder; import gnu.trove.TCollections; @@ -22,6 +27,7 @@ import org.slf4j.LoggerFactory; import java.io.File; +import java.io.IOException; import java.util.ArrayList; import java.util.Collection; import java.util.Collections; @@ -79,6 +85,7 @@ public interface Config { boolean offline (); int maxWorkers (); String resultsBucket (); + String bundleBucket (); boolean testTaskRedelivery (); } @@ -145,21 +152,25 @@ public Broker (Config config, FileStorage fileStorage, EventBus eventBus, Worker * Enqueue a set of tasks for a regional analysis. * Only a single task is passed in, which the broker will expand into all the individual tasks for a regional job. * We pass in the group and user only to tag any newly created workers. This should probably be done in the caller. - * TODO push the creation of the TemplateTask down into this method, to avoid last two parameters? - * TODO make the tags a simple Map from String -> String here and for worker startup. */ - public synchronized void enqueueTasksForRegionalJob (RegionalTask templateTask, WorkerTags workerTags) { + public synchronized void enqueueTasksForRegionalJob (RegionalAnalysis regionalAnalysis) { + + // Make a copy of the regional task inside the RegionalAnalysis, replacing the scenario with a scenario ID. + RegionalTask templateTask = templateTaskFromRegionalAnalysis(regionalAnalysis); + LOG.info("Enqueuing tasks for job {} using template task.", templateTask.jobId); if (findJob(templateTask.jobId) != null) { LOG.error("Someone tried to enqueue job {} but it already exists.", templateTask.jobId); throw new RuntimeException("Enqueued duplicate job " + templateTask.jobId); } + WorkerTags workerTags = WorkerTags.fromRegionalAnalysis(regionalAnalysis); Job job = new Job(templateTask, workerTags); jobs.put(job.workerCategory, job); // Register the regional job so results received from multiple workers can be assembled into one file. - // TODO encapsulate resultAssemblers in a new component - MultiOriginAssembler assembler = new MultiOriginAssembler(job, config.resultsBucket(), fileStorage); + // TODO encapsulate MultiOriginAssemblers in a new Component + MultiOriginAssembler assembler = + new MultiOriginAssembler(regionalAnalysis, job, config.resultsBucket(), fileStorage); resultAssemblers.put(templateTask.jobId, assembler); @@ -177,6 +188,48 @@ public synchronized void enqueueTasksForRegionalJob (RegionalTask templateTask, eventBus.send(new RegionalAnalysisEvent(templateTask.jobId, STARTED).forUser(workerTags.user, workerTags.group)); } + /** + * The single RegionalTask object represents a lot of individual accessibility tasks at many different origin + * points, typically on a grid. Before passing that RegionalTask on to the Broker (which distributes tasks to + * workers and tracks progress), we remove the details of the scenario, substituting the scenario's unique ID + * to save time and bandwidth. This avoids repeatedly sending the scenario details to the worker in every task, + * as they are often quite voluminous. The workers will fetch the scenario once from S3 and cache it based on + * its ID only. We protectively clone this task because we're going to null out its scenario field, and don't + * want to affect the original object which contains all the scenario details. + * TODO Why is all this detail added after the Persistence call? + * We don't want to store all the details added below in Mongo? + */ + private RegionalTask templateTaskFromRegionalAnalysis (RegionalAnalysis regionalAnalysis) { + RegionalTask templateTask = regionalAnalysis.request.clone(); + // First replace the inline scenario with a scenario ID, storing the scenario for retrieval by workers. + Scenario scenario = templateTask.scenario; + templateTask.scenarioId = scenario.id; + // Null out the scenario in the template task, avoiding repeated serialization to the workers as massive JSON. + templateTask.scenario = null; + String fileName = String.format("%s_%s.json", regionalAnalysis.bundleId, scenario.id); + FileStorageKey fileStorageKey = new FileStorageKey(config.bundleBucket(), fileName); + try { + File localScenario = FileUtils.createScratchFile("json"); + JsonUtil.objectMapper.writeValue(localScenario, scenario); + fileStorage.moveIntoStorage(fileStorageKey, localScenario); + } catch (IOException e) { + LOG.error("Error storing scenario for retrieval by workers.", e); + } + // Fill in all the fields in the template task that will remain the same across all tasks in a job. + // I am not sure why we are re-setting all these fields, it seems like they are already set when the task is + // initialized by AnalysisRequest.populateTask. But we'd want to thoroughly check that assumption before + // eliminating or moving these lines. + templateTask.jobId = regionalAnalysis._id; + templateTask.graphId = regionalAnalysis.bundleId; + templateTask.workerVersion = regionalAnalysis.workerVersion; + templateTask.height = regionalAnalysis.height; + templateTask.width = regionalAnalysis.width; + templateTask.north = regionalAnalysis.north; + templateTask.west = regionalAnalysis.west; + templateTask.zoom = regionalAnalysis.zoom; + return templateTask; + } + /** * Create on-demand worker for a given job. */ diff --git a/src/main/java/com/conveyal/analysis/components/broker/Job.java b/src/main/java/com/conveyal/analysis/components/broker/Job.java index d67215b3..76631a87 100644 --- a/src/main/java/com/conveyal/analysis/components/broker/Job.java +++ b/src/main/java/com/conveyal/analysis/components/broker/Job.java @@ -14,11 +14,7 @@ /** * A Job is a collection of tasks that represent all the origins in a regional analysis. All the - * tasks must have the same network ID and be run against the same R5 version on the workers. - *

- * There is no concern about multiple tasks having the same ID, because those IDs are created by the - * broker. An unlikely potential problem is that if the broker restarts, the workers might mark the - * wrong tasks as completed. + * tasks in a Job must have the same network ID and be run against the same R5 version on the workers. */ public class Job { @@ -70,10 +66,7 @@ public class Job { */ protected int nTasksDelivered; - /** - * Every task in this job will be based on this template task, but have its origin - * coordinates changed. - */ + /** Every task in this job will be based on this template task, but have its origin coordinates changed. */ public final RegionalTask templateTask; /** diff --git a/src/main/java/com/conveyal/analysis/components/broker/RedeliveryTest.java b/src/main/java/com/conveyal/analysis/components/broker/RedeliveryTest.java index 05cf41cd..a90f52a9 100644 --- a/src/main/java/com/conveyal/analysis/components/broker/RedeliveryTest.java +++ b/src/main/java/com/conveyal/analysis/components/broker/RedeliveryTest.java @@ -2,6 +2,7 @@ import com.conveyal.analysis.components.Components; import com.conveyal.analysis.components.LocalComponents; +import com.conveyal.analysis.models.RegionalAnalysis; import com.conveyal.r5.analyst.cluster.RegionalTask; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -63,8 +64,9 @@ private static void sendFakeJob(Broker broker) { templateTask.height = 1; templateTask.width = N_TASKS_PER_JOB; templateTask.scenarioId = "FAKE"; - WorkerTags workerTags = new WorkerTags("testGroup", "testUser", "projectId", "regionId"); - broker.enqueueTasksForRegionalJob(templateTask, workerTags); + RegionalAnalysis regionalAnalysis = new RegionalAnalysis(); + regionalAnalysis.request = templateTask; + broker.enqueueTasksForRegionalJob(regionalAnalysis); } public static String compactUUID() { diff --git a/src/main/java/com/conveyal/analysis/controllers/AggregationAreaController.java b/src/main/java/com/conveyal/analysis/controllers/AggregationAreaController.java index f89488db..2830306b 100644 --- a/src/main/java/com/conveyal/analysis/controllers/AggregationAreaController.java +++ b/src/main/java/com/conveyal/analysis/controllers/AggregationAreaController.java @@ -3,6 +3,7 @@ import com.conveyal.analysis.AnalysisServerException; import com.conveyal.analysis.models.AggregationArea; import com.conveyal.analysis.persistence.Persistence; +import com.conveyal.analysis.util.HttpUtils; import com.conveyal.file.FileStorage; import com.conveyal.file.FileStorageKey; import com.conveyal.file.FileUtils; @@ -11,9 +12,6 @@ import com.google.common.io.Files; import com.mongodb.QueryBuilder; import org.apache.commons.fileupload.FileItem; -import org.apache.commons.fileupload.FileItemFactory; -import org.apache.commons.fileupload.disk.DiskFileItemFactory; -import org.apache.commons.fileupload.servlet.ServletFileUpload; import org.json.simple.JSONObject; import org.locationtech.jts.geom.Envelope; import org.locationtech.jts.geom.Geometry; @@ -30,6 +28,7 @@ import java.text.MessageFormat; import java.util.ArrayList; import java.util.Collection; +import java.util.Collections; import java.util.HashMap; import java.util.List; import java.util.Map; @@ -45,7 +44,6 @@ public class AggregationAreaController implements HttpController { private static final Logger LOG = LoggerFactory.getLogger(AggregationAreaController.class); - private static final FileItemFactory fileItemFactory = new DiskFileItemFactory(); /** * Arbitrary limit to prevent UI clutter from many aggregation areas (e.g. if someone uploads thousands of blocks). @@ -67,6 +65,8 @@ public AggregationAreaController (FileStorage fileStorage, Config config) { this.config = config; } + + private FileStorageKey getStoragePath (AggregationArea area) { return new FileStorageKey(config.gridBucket(), area.getS3Key()); } @@ -81,8 +81,7 @@ private FileStorageKey getStoragePath (AggregationArea area) { */ private List createAggregationAreas (Request req, Response res) throws Exception { ArrayList aggregationAreas = new ArrayList<>(); - ServletFileUpload sfu = new ServletFileUpload(fileItemFactory); - Map> query = sfu.parseParameterMap(req.raw()); + Map> query = HttpUtils.getRequestFiles(req.raw()); // 1. Extract relevant files: .shp, .prj, .dbf, and .shx. ====================================================== Map filesByName = query.get("files").stream() @@ -119,10 +118,17 @@ private List createAggregationAreas (Request req, Response res) filesByName.get(baseName + ".shx").write(shxFile); } - ShapefileReader reader = new ShapefileReader(shpFile); - // 2. Read features ============================================================================================ - List features = reader.wgs84Stream().collect(Collectors.toList()); + ShapefileReader reader = null; + List features; + try { + reader = new ShapefileReader(shpFile); + features = reader.wgs84Stream().collect(Collectors.toList()); + } finally { + if (reader != null) reader.close(); + } + + Map areas = new HashMap<>(); if (features.size() > MAX_FEATURES) { @@ -140,7 +146,7 @@ private List createAggregationAreas (Request req, Response res) } else { // Don't union. Name each area by looking up its value for the name property in the request. String nameProperty = query.get("nameProperty").get(0).getString("UTF-8"); - features.stream().forEach(f -> areas.put(readProperty(f, nameProperty), (Geometry) f.getDefaultGeometry())); + features.forEach(f -> areas.put(readProperty(f, nameProperty), (Geometry) f.getDefaultGeometry())); } // 3. Convert to raster grids, then store them. ================================================================ areas.forEach((String name, Geometry geometry) -> { diff --git a/src/main/java/com/conveyal/analysis/controllers/BrokerController.java b/src/main/java/com/conveyal/analysis/controllers/BrokerController.java index 77c8ceab..e6e5abd2 100644 --- a/src/main/java/com/conveyal/analysis/controllers/BrokerController.java +++ b/src/main/java/com/conveyal/analysis/controllers/BrokerController.java @@ -17,7 +17,7 @@ import com.conveyal.analysis.util.HttpStatus; import com.conveyal.analysis.util.JsonUtil; import com.conveyal.r5.analyst.WorkerCategory; -import com.conveyal.r5.analyst.cluster.AnalystWorker; +import com.conveyal.r5.analyst.cluster.AnalysisWorker; import com.conveyal.r5.analyst.cluster.RegionalTask; import com.conveyal.r5.analyst.cluster.RegionalWorkResult; import com.conveyal.r5.analyst.cluster.TravelTimeSurfaceTask; @@ -87,7 +87,7 @@ public BrokerController (Broker broker, EventBus eventBus) { * This HTTP client contacts workers to send them single-point tasks for immediate processing. * TODO we should eventually switch to the new Java standard HttpClient. */ - private static HttpClient httpClient = AnalystWorker.makeHttpClient(); + private static HttpClient httpClient = AnalysisWorker.makeHttpClient(); /** * Spark handler functions return Objects. diff --git a/src/main/java/com/conveyal/analysis/controllers/BundleController.java b/src/main/java/com/conveyal/analysis/controllers/BundleController.java index 72e00c6e..08635381 100644 --- a/src/main/java/com/conveyal/analysis/controllers/BundleController.java +++ b/src/main/java/com/conveyal/analysis/controllers/BundleController.java @@ -5,6 +5,7 @@ import com.conveyal.analysis.components.TaskScheduler; import com.conveyal.analysis.models.Bundle; import com.conveyal.analysis.persistence.Persistence; +import com.conveyal.analysis.util.HttpUtils; import com.conveyal.analysis.util.JsonUtil; import com.conveyal.file.FileStorage; import com.conveyal.file.FileStorageKey; @@ -18,10 +19,7 @@ import com.conveyal.r5.util.ExceptionUtils; import com.mongodb.QueryBuilder; import org.apache.commons.fileupload.FileItem; -import org.apache.commons.fileupload.FileItemFactory; import org.apache.commons.fileupload.disk.DiskFileItem; -import org.apache.commons.fileupload.disk.DiskFileItemFactory; -import org.apache.commons.fileupload.servlet.ServletFileUpload; import org.bson.types.ObjectId; import org.locationtech.jts.geom.Envelope; import org.slf4j.Logger; @@ -103,7 +101,7 @@ public interface Config { */ private Bundle create (Request req, Response res) { // create the bundle - final Map> files = getFiles(req); + final Map> files = HttpUtils.getRequestFiles(req.raw()); final Bundle bundle = new Bundle(); try { bundle.name = files.get("bundleName").get(0).getString("UTF-8"); @@ -283,22 +281,6 @@ private Collection getBundles (Request req, Response res) { // UTILITY METHODS - /** Extract files from a Spark Request containing RFC 1867 multipart form-based file upload data. */ - private static Map> getFiles (Request req) { - // The Javadoc on this factory class doesn't say anything about thread safety. Looking at the source code it - // all looks threadsafe. But also very lightweight to instantiate, so in this code run by multiple threads - // we play it safe and always create a new factory. - // Setting a size threshold of 0 causes all files to be written to disk, which allows processing them in a - // uniform way in other threads, after the request handler has returned. - FileItemFactory fileItemFactory = new DiskFileItemFactory(0, null); - ServletFileUpload sfu = new ServletFileUpload(fileItemFactory); - try { - return sfu.parseParameterMap(req.raw()); - } catch (Exception e) { - throw AnalysisServerException.badRequest(ExceptionUtils.asString(e)); - } - } - /** * Bundles created before 2018-10-04 do not have service start and end dates. This method sets the service start * and end dates for pre-existing bundles that do not have them set already. A database migration wasn't done diff --git a/src/main/java/com/conveyal/analysis/controllers/RegionalAnalysisController.java b/src/main/java/com/conveyal/analysis/controllers/RegionalAnalysisController.java index e3ca2c1a..ead5cb5a 100644 --- a/src/main/java/com/conveyal/analysis/controllers/RegionalAnalysisController.java +++ b/src/main/java/com/conveyal/analysis/controllers/RegionalAnalysisController.java @@ -4,8 +4,8 @@ import com.conveyal.analysis.SelectingGridReducer; import com.conveyal.analysis.components.broker.Broker; import com.conveyal.analysis.components.broker.JobStatus; -import com.conveyal.analysis.components.broker.WorkerTags; import com.conveyal.analysis.models.AnalysisRequest; +import com.conveyal.analysis.models.OpportunityDataset; import com.conveyal.analysis.models.Project; import com.conveyal.analysis.models.RegionalAnalysis; import com.conveyal.analysis.persistence.Persistence; @@ -16,7 +16,6 @@ import com.conveyal.file.FileUtils; import com.conveyal.r5.analyst.Grid; import com.conveyal.r5.analyst.cluster.RegionalTask; -import com.conveyal.r5.analyst.scenario.Scenario; import com.google.common.primitives.Ints; import com.mongodb.QueryBuilder; import gnu.trove.list.array.TIntArrayList; @@ -41,6 +40,7 @@ import static com.conveyal.analysis.util.JsonUtil.toJson; import static com.google.common.base.Preconditions.checkArgument; +import static com.google.common.base.Preconditions.checkNotNull; import static com.google.common.base.Preconditions.checkState; /** @@ -90,6 +90,11 @@ private Collection getRegionalAnalysesForRegion(Request req, R return getRegionalAnalysesForRegion(req.params("regionId"), req.attribute("accessGroup")); } + // Note: this includes the modifications object which can be very large + private RegionalAnalysis getRegionalAnalysis(Request req, Response res) { + return Persistence.regionalAnalyses.findByIdIfPermitted(req.params("_id"), req.attribute("accessGroup")); + } + /** * Looks up all regional analyses for a region and checks the broker for jobs associated with them. If a JobStatus * exists it adds it to the list of running analyses. @@ -178,26 +183,32 @@ private Object getRegionalResults (Request req, Response res) throws IOException } // Which channel to extract from results with multiple values per origin (for different travel time cutoffs) - // and multiple output files per analysis (for different percentiles of travel time). The base case is older - // regional analyses with only a single cutoff, and no percentile in the file name. + // and multiple output files per analysis (for different percentiles of travel time and/or different + // destination pointsets). These initial values are for older regional analysis results with only a single + // cutoff, and no percentile or destination gridId in the file name. + // For newer analyses that have multiple cutoffs, percentiles, or destination pointsets, these initial values + // are coming from deprecated fields, are not meaningful and will be overwritten below from query parameters. int percentile = analysis.travelTimePercentile; int cutoffMinutes = analysis.cutoffMinutes; int cutoffIndex = 0; + String destinationPointSetId = analysis.grid; - // Handle newer regional analyses with multiple cutoffs in an array. If a query parameter is supplied, range - // check it, otherwise use the middle value in the list. + // Handle newer regional analyses with multiple cutoffs in an array. + // If a query parameter is supplied, range check it, otherwise use the middle value in the list. + // The cutoff variable holds the actual cutoff in minutes, not the position in the array of cutoffs. if (analysis.cutoffsMinutes != null) { int nCutoffs = analysis.cutoffsMinutes.length; checkState(nCutoffs > 0, "Regional analysis has no cutoffs."); cutoffMinutes = getIntQueryParameter(req, "cutoff", analysis.cutoffsMinutes[nCutoffs / 2]); cutoffIndex = new TIntArrayList(analysis.cutoffsMinutes).indexOf(cutoffMinutes); - checkArgument(cutoffIndex >= 0, + checkState(cutoffIndex >= 0, "Travel time cutoff for this regional analysis must be taken from this list: (%s)", Ints.join(", ", analysis.cutoffsMinutes) ); } // Handle newer regional analyses with multiple percentiles in an array. + // If a query parameter is supplied, range check it, otherwise use the middle value in the list. // The percentile variable holds the actual percentile (25, 50, 95) not the position in the array. if (analysis.travelTimePercentiles != null) { int nPercentiles = analysis.travelTimePercentiles.length; @@ -208,6 +219,19 @@ private Object getRegionalResults (Request req, Response res) throws IOException Ints.join(", ", analysis.travelTimePercentiles)); } + // Handle even newer regional analyses with multiple destination pointsets per analysis. + if (analysis.destinationPointSetIds != null) { + int nGrids = analysis.destinationPointSetIds.length; + checkState(nGrids > 0, "Regional analysis has no grids."); + destinationPointSetId = req.queryParams("destinationPointSetId"); + if (destinationPointSetId == null) { + destinationPointSetId = analysis.destinationPointSetIds[0]; + } + checkArgument(Arrays.asList(analysis.destinationPointSetIds).contains(destinationPointSetId), + "Destination gridId must be one of: %s", + String.join(",", analysis.destinationPointSetIds)); + } + // It seems like you would check regionalAnalysis.complete to choose between redirecting to s3 and fetching // the partially completed local file. But this field is never set to true - it's on a UI model object that // isn't readily accessible to the internal Job-tracking mechanism of the back end. Instead, just try to fetch @@ -240,8 +264,8 @@ private Object getRegionalResults (Request req, Response res) throws IOException } } else { // The analysis has already completed, results should be stored and retrieved from S3 via redirects. - LOG.info("Returning {} minute accessibility (percentile {}) for regional analysis {}.", - cutoffMinutes, percentile, regionalAnalysisId); + LOG.info("Returning {} minute accessibility to pointset {} (percentile {}) for regional analysis {}.", + cutoffMinutes, destinationPointSetId, percentile, regionalAnalysisId); FileStorageFormat format = FileStorageFormat.valueOf(fileFormatExtension.toUpperCase()); if (!FileStorageFormat.GRID.equals(format) && !FileStorageFormat.PNG.equals(format) && !FileStorageFormat.TIFF.equals(format)) { throw AnalysisServerException.badRequest("Format \"" + format + "\" is invalid. Request format must be \"grid\", \"png\", or \"tiff\"."); @@ -251,15 +275,28 @@ private Object getRegionalResults (Request req, Response res) throws IOException // We do this even for results generated by older workers, so they will be re-extracted with the new name. // These grids are reasonably small, we may be able to just send all cutoffs to the UI instead of selecting. String singleCutoffKey = - String.format("%s_P%d_C%d.%s", regionalAnalysisId, percentile, cutoffMinutes, fileFormatExtension); + String.format("%s_%s_P%d_C%d.%s", regionalAnalysisId, destinationPointSetId, percentile, cutoffMinutes, fileFormatExtension); // A lot of overhead here - UI contacts backend, backend calls S3, backend responds to UI, UI contacts S3. FileStorageKey singleCutoffFileStorageKey = new FileStorageKey(config.resultsBucket(), singleCutoffKey); if (!fileStorage.exists(singleCutoffFileStorageKey)) { - // Old single-percentile regional analysis result grids don't have a percentile component in the S3 key. - String multiCutoffKey = (analysis.travelTimePercentiles == null) - ? regionalAnalysisId + ".access" - : String.format("%s_P%d.access", regionalAnalysisId, percentile); + // An accessibility grid for this particular cutoff has apparently never been extracted from the + // regional results file before. Extract one and save it for future reuse. Older regional analyses + // may not have arrays allowing multiple cutoffs, percentiles, or destination pointsets. The + // filenames of such regional accessibility results will not have a percentile or pointset ID. + String multiCutoffKey; + if (analysis.travelTimePercentiles == null) { + // Oldest form of results, single-percentile, single grid. + multiCutoffKey = regionalAnalysisId + ".access"; + } else { + if (analysis.destinationPointSetIds == null) { + // Newer form of regional results: multi-percentile, single grid. + multiCutoffKey = String.format("%s_P%d.access", regionalAnalysisId, percentile); + } else { + // Newest form of regional results: multi-percentile, multi-grid. + multiCutoffKey = String.format("%s_%s_P%d.access", regionalAnalysisId, destinationPointSetId, percentile); + } + } LOG.info("Single-cutoff grid {} not found on S3, deriving it from {}.", singleCutoffKey, multiCutoffKey); FileStorageKey multiCutoffFileStorageKey = new FileStorageKey(config.resultsBucket(), multiCutoffKey); @@ -322,9 +359,47 @@ private RegionalAnalysis createRegionalAnalysis (Request req, Response res) thro // why is some stuff set in this populate method, and other things set here in the caller? RegionalTask task = (RegionalTask) analysisRequest.populateTask(new RegionalTask(), project); - // Set the destination pointset (which is still called "grid" for backward worker compatibility). - task.grid = Persistence.opportunityDatasets - .findByIdIfPermitted(analysisRequest.opportunityDatasetId, accessGroup).storageLocation(); + // Set the destination PointSets, which are required for all non-Taui regional requests. + if (! analysisRequest.makeTauiSite) { + checkNotNull(analysisRequest.destinationPointSetIds); + checkState(analysisRequest.destinationPointSetIds.length > 0, + "At least one destination pointset ID must be supplied."); + int nPointSets = analysisRequest.destinationPointSetIds.length; + task.destinationPointSetKeys = new String[nPointSets]; + List opportunityDatasets = new ArrayList<>(); + for (int i = 0; i < nPointSets; i++) { + String destinationPointSetId = analysisRequest.destinationPointSetIds[i]; + OpportunityDataset opportunityDataset = Persistence.opportunityDatasets.findByIdIfPermitted( + destinationPointSetId, + accessGroup + ); + checkNotNull(opportunityDataset, "Opportunity dataset could not be found in database."); + opportunityDatasets.add(opportunityDataset); + task.destinationPointSetKeys[i] = opportunityDataset.storageLocation(); + } + // For backward compatibility with old workers, communicate any single pointSet via the deprecated field. + if (nPointSets == 1) { + task.grid = task.destinationPointSetKeys[0]; + } + // Preflight check that all destination pointsets are exactly the same size. Equivalent to worker-side + // checks in AnalysisWorkerTask.loadAndValidateDestinationPointSets and WebMercatorExtents.forPointsets. + for (OpportunityDataset dataset : opportunityDatasets) { + if (dataset.format == FileStorageFormat.FREEFORM) { + checkArgument( + nPointSets == 1, + "If a freeform destination PointSet is specified, it must be the only one." + ); + } else { + checkArgument( + dataset.getWebMercatorExtents().equals(opportunityDatasets.get(0).getWebMercatorExtents()), + "If multiple grids are specified as destinations, they must have identical extents." + ); + } + } + // Also do a preflight validation of the cutoffs and percentiles arrays for all non-TAUI regional tasks. + task.validateCutoffsMinutes(); + task.validatePercentiles(); + } // Set the origin pointset if one is specified. if (analysisRequest.originPointSetId != null) { @@ -346,9 +421,10 @@ private RegionalAnalysis createRegionalAnalysis (Request req, Response res) thro // TODO remove duplicate fields from RegionalAnalysis that are already in the nested task. // The RegionalAnalysis should just be a minimal wrapper around the template task, adding the origin point set. - // The RegionalAnalysis object contains a reference to the template task itself. + // The RegionalAnalysis object contains a reference to the worker task itself. // In fact, there are three separate classes all containing almost the same info: - // AnalysisRequest, RegionalTask, RegionalAnalysis. + // AnalysisRequest (from UI to backend), RegionalTask (template sent to worker), RegionalAnalysis (in Mongo). + // And for regional analyses, two instances of the worker task: the one with the scenario, and the templateTask. RegionalAnalysis regionalAnalysis = new RegionalAnalysis(); regionalAnalysis.request = task; regionalAnalysis.height = task.height; @@ -359,7 +435,7 @@ private RegionalAnalysis createRegionalAnalysis (Request req, Response res) thro regionalAnalysis.accessGroup = accessGroup; regionalAnalysis.bundleId = project.bundleId; regionalAnalysis.createdBy = email; - regionalAnalysis.grid = analysisRequest.opportunityDatasetId; + regionalAnalysis.destinationPointSetIds = analysisRequest.destinationPointSetIds; regionalAnalysis.name = analysisRequest.name; regionalAnalysis.projectId = analysisRequest.projectId; regionalAnalysis.regionId = project.regionId; @@ -367,79 +443,41 @@ private RegionalAnalysis createRegionalAnalysis (Request req, Response res) thro regionalAnalysis.workerVersion = analysisRequest.workerVersion; regionalAnalysis.zoom = task.zoom; - // Handle new multiple cutoff and multiple percentile arrays if they are present. - if (analysisRequest.cutoffsMinutes != null) { - // Store invalid value (-1 was already used) in deprecated field to make it clear it should not be used. - regionalAnalysis.cutoffMinutes = -2; - // Store the full array which will be read by newer workers and backends. - regionalAnalysis.cutoffsMinutes = analysisRequest.cutoffsMinutes; + // Store the full array of multiple cutoffs which will be understood by newer workers and backends, + // rather then the older single cutoff value. + checkNotNull(analysisRequest.cutoffsMinutes); + checkArgument(analysisRequest.cutoffsMinutes.length > 0); + regionalAnalysis.cutoffsMinutes = analysisRequest.cutoffsMinutes; + if (analysisRequest.cutoffsMinutes.length == 1) { + // Ensure older workers expecting a single cutoff will still function. + regionalAnalysis.cutoffMinutes = analysisRequest.cutoffsMinutes[0]; } else { - // Replicate the older system, with a single cutoff. This ensures older workers will still function. - regionalAnalysis.cutoffMinutes = task.maxTripDurationMinutes; - // Create a one-element array so newer workers won't have to check deprecated non-array fields. - regionalAnalysis.cutoffsMinutes = new int[] { regionalAnalysis.cutoffMinutes }; + // Store invalid value in deprecated field (-1 was already used) to make it clear it should not be used. + regionalAnalysis.cutoffMinutes = -2; } - // Same process as for cutoffsMinutes, but for percentiles UI has been observed to send one-element arrays. - if (analysisRequest.percentiles != null) { - if (analysisRequest.percentiles.length == 1) { - regionalAnalysis.travelTimePercentile = analysisRequest.percentiles[0]; - } else { - regionalAnalysis.travelTimePercentile = -2; - } - regionalAnalysis.travelTimePercentiles = analysisRequest.percentiles; + + // Same process as for cutoffsMinutes, but for percentiles. + checkNotNull(analysisRequest.percentiles); + checkArgument(analysisRequest.percentiles.length > 0); + regionalAnalysis.travelTimePercentiles = analysisRequest.percentiles; + if (analysisRequest.percentiles.length == 1) { + regionalAnalysis.travelTimePercentile = analysisRequest.percentiles[0]; } else { - regionalAnalysis.travelTimePercentile = analysisRequest.travelTimePercentile; - regionalAnalysis.travelTimePercentiles = new int[] { regionalAnalysis.travelTimePercentile }; + regionalAnalysis.travelTimePercentile = -2; } // Propagate any changes to the cutoff and percentiles arrays down into the nested RegionalTask. + // TODO propagate single (non-array) values for old workers + // TODO propagate the other direction, setting these values when initializing the task task.cutoffsMinutes = regionalAnalysis.cutoffsMinutes; task.percentiles = regionalAnalysis.travelTimePercentiles; - // Set the maximum trip duration just high enough to compute accessibility for the highest cutoff. - task.maxTripDurationMinutes = Arrays.stream(regionalAnalysis.cutoffsMinutes).max().getAsInt(); - // Persist this newly created RegionalAnalysis to Mongo. // Why are we overwriting the regionalAnalysis reference with the result of saving it? This looks like a no-op. regionalAnalysis = Persistence.regionalAnalyses.create(regionalAnalysis); - // The single RegionalAnalysis object represents a lot of individual accessibility tasks at many different - // origin points, typically on a grid. Before passing that object on to the Broker (which distributes tasks to - // workers and tracks progress), we remove the details of the scenario, substituting the scenario's unique ID - // to save time and bandwidth. This avoids repeatedly sending the scenario details to the worker in every task, - // as they are often quite voluminous. The workers will fetch the scenario once from S3 and cache it based on - // its ID only. We protectively clone this task because we're going to null out its scenario field, and don't - // want to affect the original object which contains all the scenario details. - // TODO why is the request object cloned? Why is all this detail added after the Persistence call? - // We don't want to store all the details added below in Mongo? - RegionalTask templateTask = regionalAnalysis.request.clone(); - Scenario scenario = templateTask.scenario; - templateTask.scenarioId = scenario.id; - templateTask.scenario = null; - String fileName = String.format("%s_%s.json", regionalAnalysis.bundleId, scenario.id); - FileStorageKey fileStorageKey = new FileStorageKey(config.bundleBucket(), fileName); - try { - File localScenario = FileUtils.createScratchFile("json"); - JsonUtil.objectMapper.writeValue(localScenario, scenario); - fileStorage.moveIntoStorage(fileStorageKey, localScenario); - } catch (IOException e) { - LOG.error("Error saving scenario to disk", e); - } - - // Fill in all the fields in the template task that will remain the same across all tasks in a job. - // Re-setting all these fields may not be necessary (they might already be set previously), - // but we can't eliminate these lines without thoroughly checking that assumption. - templateTask.jobId = regionalAnalysis._id; - templateTask.graphId = regionalAnalysis.bundleId; - templateTask.workerVersion = regionalAnalysis.workerVersion; - templateTask.height = regionalAnalysis.height; - templateTask.width = regionalAnalysis.width; - templateTask.north = regionalAnalysis.north; - templateTask.west = regionalAnalysis.west; - templateTask.zoom = regionalAnalysis.zoom; - // Register the regional job with the broker, which will distribute individual tasks to workers and track progress. - broker.enqueueTasksForRegionalJob(templateTask, WorkerTags.fromRegionalAnalysis(regionalAnalysis)); + broker.enqueueTasksForRegionalJob(regionalAnalysis); return regionalAnalysis; } @@ -459,6 +497,7 @@ public void registerEndpoints (spark.Service sparkService) { }); sparkService.path("/api/regional", () -> { // For grids, no transformer is supplied: render raw bytes or input stream rather than transforming to JSON. + sparkService.get("/:_id", this::getRegionalAnalysis); sparkService.get("/:_id/grid/:format", this::getRegionalResults); sparkService.delete("/:_id", this::deleteRegionalAnalysis, toJson); sparkService.post("", this::createRegionalAnalysis, toJson); diff --git a/src/main/java/com/conveyal/analysis/models/AddTripPattern.java b/src/main/java/com/conveyal/analysis/models/AddTripPattern.java index 007823a8..ec96a7a1 100644 --- a/src/main/java/com/conveyal/analysis/models/AddTripPattern.java +++ b/src/main/java/com/conveyal/analysis/models/AddTripPattern.java @@ -30,6 +30,8 @@ public String getType() { /** The Route color, for display purposes. */ public String color; + public Integer directionId; + public List segments; public boolean bidirectional; @@ -64,6 +66,8 @@ public AddTrips toR5 () { // Uncomment when implemented in r5 at.color = color; + if (directionId != null) at.directionId = directionId; + if (transitMode != null) { at.mode = transitMode; } diff --git a/src/main/java/com/conveyal/analysis/models/AnalysisRequest.java b/src/main/java/com/conveyal/analysis/models/AnalysisRequest.java index f35949a4..8e1e282c 100644 --- a/src/main/java/com/conveyal/analysis/models/AnalysisRequest.java +++ b/src/main/java/com/conveyal/analysis/models/AnalysisRequest.java @@ -3,7 +3,9 @@ import com.conveyal.analysis.AnalysisServerException; import com.conveyal.analysis.persistence.Persistence; import com.conveyal.r5.analyst.Grid; -import com.conveyal.r5.analyst.cluster.AnalysisTask; +import com.conveyal.r5.analyst.cluster.AnalysisWorkerTask; +import com.conveyal.r5.analyst.decay.DecayFunction; +import com.conveyal.r5.analyst.decay.StepDecayFunction; import com.conveyal.r5.analyst.fare.InRoutingFareCalculator; import com.conveyal.r5.analyst.scenario.Modification; import com.conveyal.r5.analyst.scenario.Scenario; @@ -22,16 +24,18 @@ /** * Request sent from the UI to the backend. It is actually distinct from the task that the broker - * sends/forwards to R5 workers (see {@link AnalysisTask}), though it has many of the same fields. + * sends/forwards to R5 workers (see {@link AnalysisWorkerTask}), though it has many of the same fields. */ public class AnalysisRequest { + private static int MIN_ZOOM = 9; + private static int MAX_ZOOM = 12; + private static int MAX_GRID_CELLS = 5_000_000; + public String projectId; public int variantIndex; public String workerVersion; - // All analyses parameters ===================================================================== - public String accessModes; public float bikeSpeed; public Bounds bounds; @@ -45,6 +49,7 @@ public class AnalysisRequest { public int toTime; public String transitModes; public float walkSpeed; + public int maxTripDurationMinutes = 120; public int maxRides = 4; public int[] percentiles; public int[] cutoffsMinutes; @@ -54,10 +59,6 @@ public class AnalysisRequest { /** Web Mercator zoom level; 9 (~250 m by ~250 m) is standard. */ public int zoom = 9; - private static int MIN_ZOOM = 9; - private static int MAX_ZOOM = 12; - private static int MAX_GRID_CELLS = 5_000_000; - // Parameters that aren't currently configurable in the UI ===================================== public int bikeTrafficStress = 4; @@ -78,9 +79,7 @@ public class AnalysisRequest { // Multi-origin only =========================================================================== - @Deprecated - public Integer maxTripDurationMinutes; - + /** The human-readable name for a regional analysis. */ public String name; /** @@ -94,22 +93,18 @@ public class AnalysisRequest { public String originPointSetId; /** - * Set of points to be used as destinations in accessibility or travel time calculations. This - * can be a grid or freeform pointset of destinations. TODO rename to destinationPointSetId + * The IDs of pointsets to be used as destinations in accessibility or travel time calculations. This can be + * one or more grids with identical extents, or a single freeform pointset. + * This replaces the deprecated singular opportunityDatasetId. */ - public String opportunityDatasetId; - - @Deprecated - public Integer travelTimePercentile; + public String[] destinationPointSetIds; - /** - * Whether to save all results in a regional analysis to S3 for display in a "static site". - */ + /** Whether to save all results in a regional analysis to S3 for display in a "static site". */ public boolean makeTauiSite = false; /** - * Whether to record travel times between origins and destinations. If true, requires an - * originPointSetId to be specified. + * Whether to record travel times between origins and destinations. + * If true, requires an originPointSetId to be specified. */ public boolean recordTimes; @@ -121,9 +116,7 @@ public class AnalysisRequest { */ public boolean oneToOne; - /** - * Whether to record cumulative opportunity accessibility indicators for each origin - */ + /** Whether to record cumulative opportunity accessibility indicators for each origin. */ public boolean recordAccessibility = true; // For multi-criteria optimization (Pareto search on time and fare cost) ======================= @@ -135,11 +128,15 @@ public class AnalysisRequest { */ public InRoutingFareCalculator inRoutingFareCalculator; - /** - * Limit on monetary expenditure on fares when an inRoutingFareCalculator is used. - */ + /** Limit on monetary expenditure on fares when an inRoutingFareCalculator is used. */ public int maxFare; + /** + * A function mapping travel times to weighting factors for opportunities at that travel time from the origin. + * Classic cumulative opportunities accessibility uses a step function with all opportunities below the cutoff + * weighted 1.0 and all opportunities at or above the cutoff weighted 0. + */ + public DecayFunction decayFunction; /** * Get all of the modifications for a project id that are in the Variant and map them to their @@ -165,15 +162,24 @@ private static List modificationsForProject ( *

* This method takes a task as a parameter, modifies that task, and also returns that same task. * This is because we have two subtypes of AnalysisTask and need to be able to create both. + * + * This populates for a single-point task, and several things get overwritten for regional tasks. + * + * TODO arguably this should be done by a method on the task classes themselves, with common parts factored out + * to the same method on the superclass. */ - public AnalysisTask populateTask (AnalysisTask task, Project project) { + public AnalysisWorkerTask populateTask (AnalysisWorkerTask task, Project project) { // Fetch the modifications associated with this project, filtering for the selected scenario // (denoted here as "variant"). There are no modifications in the baseline scenario // (which is denoted by special index -1). List modifications = new ArrayList<>(); + String scenarioName; if (variantIndex > -1) { modifications = modificationsForProject(project.accessGroup, projectId, variantIndex); + scenarioName = project.variants[variantIndex]; + } else { + scenarioName = "Baseline"; } // The CRC of the modifications in this scenario is appended to the scenario ID to @@ -187,9 +193,12 @@ public AnalysisTask populateTask (AnalysisTask task, Project project) { task.scenario = new Scenario(); // FIXME Job IDs need to be unique. Why are we setting this to the project and variant? // This only works because the job ID is overwritten when the job is enqueued. + // Its main effect is to cause the scenario ID to have this same pattern! + // We should probably leave the JobID null on single point tasks. Needed: polymorphic task initialization. task.jobId = String.format("%s-%s-%s", projectId, variantIndex, crcValue); task.scenario.id = task.scenarioId = task.jobId; task.scenario.modifications = modifications; + task.scenario.description = scenarioName; task.graphId = project.bundleId; task.workerVersion = workerVersion; task.maxFare = this.maxFare; @@ -228,6 +237,13 @@ public AnalysisTask populateTask (AnalysisTask task, Project project) { task.maxBikeTime = maxBikeTime; task.maxCarTime = maxCarTime; task.maxRides = maxRides; + if (task.inRoutingFareCalculator != null) { + // Only overwrite the default cutoff when doing multi-criteria routing with fare constraints, which can be + // slow and reliant on lower temporal cutoffs to avoid timeouts. + // In previous versions, the default cutoff was also overwritten for non-Taui regional analyses. But + // with changes introduced for decay functions/multiple cutoffs, that step is no longer needed here. + task.maxTripDurationMinutes = maxTripDurationMinutes; + } task.minBikeTime = minBikeTime; task.minCarTime = minCarTime; task.streetTime = streetTime; @@ -236,21 +252,9 @@ public AnalysisTask populateTask (AnalysisTask task, Project project) { task.monteCarloDraws = monteCarloDraws; task.percentiles = percentiles; task.cutoffsMinutes = cutoffsMinutes; - + task.logRequest = logRequest; - // maxTripDurationMinutes is used to prune the search in R5, discarding results exceeding the cutoff. - // If a target exceeds the cutoff, travel time to it may as well be infinite for the purposes of a strict cumulative - // opportunity measure. In standard single-point and static-site results, we don't apply this pruning (at less than - // the default maximum of 120 minutes) because users can vary the travel time cutoff after analysis. - // An exception is for Pareto searches on fares (i.e. when inRoutingFareCalulator specified), for which we use this - // cutoff to achieve reasonable computation time. This does mean that isochrone results will be invalid if the user moves - // the slider up beyond the travel time set when making a fare-based request. FIXME Hack for fare requests. - if ((task.getType() == AnalysisTask.Type.REGIONAL_ANALYSIS && !task.makeTauiSite) || - task.inRoutingFareCalculator != null) { - task.maxTripDurationMinutes = maxTripDurationMinutes; - } - task.accessModes = getEnumSetFromString(accessModes); task.directModes = getEnumSetFromString(directModes); task.egressModes = getEnumSetFromString(egressModes); @@ -258,6 +262,12 @@ public AnalysisTask populateTask (AnalysisTask task, Project project) { ? EnumSet.copyOf(Arrays.stream(transitModes.split(",")).map(TransitModes::valueOf).collect(Collectors.toList())) : EnumSet.noneOf(TransitModes.class); + // Use the decay function supplied by the UI, defaulting to a zero-width step function if none is supplied. + task.decayFunction = decayFunction; + if (task.decayFunction == null) { + task.decayFunction = new StepDecayFunction(); + } + return task; } diff --git a/src/main/java/com/conveyal/analysis/models/Bookmark.java b/src/main/java/com/conveyal/analysis/models/Bookmark.java index aa48f2ed..42415560 100644 --- a/src/main/java/com/conveyal/analysis/models/Bookmark.java +++ b/src/main/java/com/conveyal/analysis/models/Bookmark.java @@ -1,5 +1,7 @@ package com.conveyal.analysis.models; +import org.bson.Document; + /** * A bookmark represents "frozen" settings for single point results. */ @@ -7,7 +9,12 @@ public class Bookmark extends Model { /** The region ID of this bookmark */ public String regionId; - public AnalysisRequest profileRequest; + /** + * Usually corresponds to an AnalysisRequest object, but that definition changes over time. Because this is only + * used to populate the form on the front-end, we can use an untyped BSON Document that represents any key=value + * pairs the can be used in MongoDB. + */ + public Document profileRequest; public int isochroneCutoff; diff --git a/src/main/java/com/conveyal/analysis/models/OpportunityDataset.java b/src/main/java/com/conveyal/analysis/models/OpportunityDataset.java index 23292711..bb3a84f4 100644 --- a/src/main/java/com/conveyal/analysis/models/OpportunityDataset.java +++ b/src/main/java/com/conveyal/analysis/models/OpportunityDataset.java @@ -2,6 +2,7 @@ import com.conveyal.file.FileStorageFormat; import com.conveyal.file.FileStorageKey; +import com.conveyal.r5.analyst.WebMercatorExtents; import com.fasterxml.jackson.annotation.JsonIgnore; /** @@ -95,6 +96,11 @@ public FileStorageKey getStorageKey (FileStorageFormat fileFormat) { return new FileStorageKey(this.bucketName, storageLocation(fileFormat.extension)); } + @JsonIgnore + public WebMercatorExtents getWebMercatorExtents () { + return new WebMercatorExtents(west, north, width, height, ZOOM); + } + /** Analysis region this dataset was uploaded in. */ public String regionId; } diff --git a/src/main/java/com/conveyal/analysis/models/RegionalAnalysis.java b/src/main/java/com/conveyal/analysis/models/RegionalAnalysis.java index 0b0031e9..0584a3d9 100644 --- a/src/main/java/com/conveyal/analysis/models/RegionalAnalysis.java +++ b/src/main/java/com/conveyal/analysis/models/RegionalAnalysis.java @@ -25,9 +25,11 @@ public class RegionalAnalysis extends Model implements Cloneable { public RegionalTask request; /** - * Percentile of travel time being used in this analysis. Older analyses (pre-X) could have only one percentile. + * Single percentile of travel time being used in this analysis. Older analyses could have only one percentile. * If the analysis is pre-percentiles and is using Andrew Owen-style accessibility, value is -1. + * If the analysis has more than one percentile, value is -2. */ + @Deprecated public int travelTimePercentile = -1; /** @@ -36,14 +38,23 @@ public class RegionalAnalysis extends Model implements Cloneable { */ public int[] travelTimePercentiles; + /** Single destination pointset id (for older analyses that did not allow multiple sets of destinations). */ + @Deprecated public String grid; - /** Older analyses (up to about January 2020, before release X) had only one cutoff. */ + public String[] destinationPointSetIds; + + /** + * Older analyses (up to about January 2020, before release X) had only one cutoff. + * New analyses with more than one cutoff will have this set to -2. + */ + @Deprecated public int cutoffMinutes; /** - * Newer analyses (since release X in February 2020) can have multiple cutoffs. - * If this is non-null it completely supersedes cutoffMinutes, which should be ignored. + * The different travel time thresholds used in this analysis to include or exclude opportunities from an + * accessibility metric. Supersedes the singular cutoffMinutes used in older analyses. For non-step decay functions + * these cutoffs should correspond to the point where the monotonically decreasing decay function first reaches 0.5. */ public int[] cutoffsMinutes; diff --git a/src/main/java/com/conveyal/analysis/persistence/MongoMap.java b/src/main/java/com/conveyal/analysis/persistence/MongoMap.java index e9ab7edc..f16161e2 100644 --- a/src/main/java/com/conveyal/analysis/persistence/MongoMap.java +++ b/src/main/java/com/conveyal/analysis/persistence/MongoMap.java @@ -133,6 +133,9 @@ public V createFromJSONRequest(Request request) throws IOException { return create(json); } + /** + * Note that this has side effects on the object passed in! It assigns it an ID and creation/update time stamps. + */ public V create(V value) { // Create an ID value._id = new ObjectId().toString(); diff --git a/src/main/java/com/conveyal/analysis/results/MultiOriginAssembler.java b/src/main/java/com/conveyal/analysis/results/MultiOriginAssembler.java index cfae65f9..45334972 100644 --- a/src/main/java/com/conveyal/analysis/results/MultiOriginAssembler.java +++ b/src/main/java/com/conveyal/analysis/results/MultiOriginAssembler.java @@ -2,6 +2,7 @@ import com.conveyal.analysis.AnalysisServerException; import com.conveyal.analysis.components.broker.Job; +import com.conveyal.analysis.models.RegionalAnalysis; import com.conveyal.file.FileStorage; import com.conveyal.file.FileStorageFormat; import com.conveyal.r5.analyst.PointSet; @@ -23,16 +24,26 @@ public class MultiOriginAssembler { public static final Logger LOG = LoggerFactory.getLogger(MultiOriginAssembler.class); - // Component Dependencies - private final FileStorage fileStorage; + /** + * The regional analysis for which this object is assembling results. + * We retain the whole object rather than just its ID so we'll have the full details, e.g. destination point set + * IDs and scenario, things that are stripped out of the template task sent to the workers. + */ + private final RegionalAnalysis regionalAnalysis; + /** + * The object representing the progress of the regional analysis as tracked by the broker. + * It may appear job.templateTask has all the information needed, making the regionalAnalysis field + * unnecessary. But the templateTask is for worker consumption, while the regionalAnalysis has fields that are more + * readily usable in the backend assembler (e.g. destination pointset id, instead of full storage key). + */ public final Job job; /** - * We create one GridResultWriter for each percentile, so one output file per percentile. Each of those output - * files contains data for all travel time cutoffs at each origin. + * We create one GridResultWriter for each destination pointset and percentile. Each of those output files + * contains data for all travel time cutoffs at each origin. */ - private GridResultWriter[] accessibilityGridWriters; + private GridResultWriter[][] accessibilityGridWriters; private CsvResultWriter timeCsvWriter; @@ -82,6 +93,9 @@ public class MultiOriginAssembler { /** The number of different percentiles for which we're calculating accessibility on the workers. */ private final int nPercentiles; + /** The number of destination pointsets to which we're calculating accessibility */ + private final int nDestinationPointSets; + /** * The number of different travel time cutoffs being applied when computing accessibility for each origin. This * is the number of values stored per origin cell in an accessibility results grid. @@ -95,13 +109,21 @@ public class MultiOriginAssembler { /** * Constructor. This sets up one or more ResultWriters depending on whether we're writing gridded or non-gridded * cumulative opportunities accessibility, or origin-destination travel times. + * TODO do not pass the FileStorage component down into this non-component and the ResultWriter non-component, + * clarify design concepts on this point (e.g. only components should know other components exist). + * Rather than pushing the component all the way down to the leaf function call, we return the finished + * file up to an umbrella location where a single reference to the file storage can be used to + * store all of them. */ - public MultiOriginAssembler (Job job, String outputBucket, FileStorage fileStorage) { - this.fileStorage = fileStorage; + public MultiOriginAssembler (RegionalAnalysis regionalAnalysis, Job job, String outputBucket, + FileStorage fileStorage) { + + this.regionalAnalysis = regionalAnalysis; this.job = job; this.nPercentiles = job.templateTask.percentiles.length; // Newly launched analyses have the cutoffs field, even when being sent to old workers that don't read it. this.nCutoffs = job.templateTask.cutoffsMinutes.length; + this.nDestinationPointSets = job.templateTask.destinationPointSetKeys.length; this.nOriginsTotal = job.nTasksTotal; this.originsReceived = new BitSet(job.nTasksTotal); this.originPointSet = job.originPointSet; @@ -117,16 +139,19 @@ public MultiOriginAssembler (Job job, String outputBucket, FileStorage fileStora ); writeAccessibilityCsv = true; } else { - // Create one grid writer per percentile. - accessibilityGridWriters = new GridResultWriter[nPercentiles]; - for (int p = 0; p < nPercentiles; p++) { - accessibilityGridWriters[p] = new GridResultWriter(job.templateTask, outputBucket, fileStorage); + // Create one grid writer per percentile and destination pointset + accessibilityGridWriters = new GridResultWriter[nDestinationPointSets][nPercentiles]; + for (int d = 0; d < nDestinationPointSets; d++) { + for (int p = 0; p < nPercentiles; p++) { + accessibilityGridWriters[d][p] = + new GridResultWriter(job.templateTask, outputBucket, fileStorage); + } } writeAccessibilityGrid = true; } } - if (job.templateTask.grid.endsWith(FileStorageFormat.FREEFORM.extension)) { + if (job.templateTask.destinationPointSetKeys[0].endsWith(FileStorageFormat.FREEFORM.extension)) { // It's kind of fragile to read from an external network service here. But this is // only triggered when destinations are freeform, which is an experimental feature. destinationPointSet = PointSetCache.readFreeFormFromFileStore(job.templateTask.grid); @@ -157,9 +182,14 @@ private synchronized void finish() { LOG.info("Finished receiving data for multi-origin analysis {}", job.jobId); try { if (writeAccessibilityGrid) { - for (int p = 0; p < nPercentiles; p++) { - String gridFileName = String.format("%s_P%d.access", job.jobId, (int)(job.templateTask.percentiles[p])); - accessibilityGridWriters[p].finish(gridFileName); + for (int d = 0; d < nDestinationPointSets; d++) { + for (int p = 0; p < nPercentiles; p++) { + int percentile = job.templateTask.percentiles[p]; + String destinationPointSetId = regionalAnalysis.destinationPointSetIds[d]; + String gridFileName = + String.format("%s_%s_P%d.access", job.jobId, destinationPointSetId, percentile); + accessibilityGridWriters[d][p].finish(gridFileName); + } } } if (writeAccessibilityCsv) { @@ -189,11 +219,10 @@ public synchronized void handleMessage (RegionalWorkResult workResult) { // Infer x and y cell indexes based on the template task int taskNumber = workResult.taskId; // Drop work results for this particular origin into a little-endian output file. - // We only have one file for now because only one pointset, percentile, and cutoff value. - // Also sanity-check the dimensions of the result. // TODO more efficient way to write little-endian integers // TODO check monotonic increasing invariants here rather than in worker. - for (int[][] percentilesForGrid : workResult.accessibilityValues) { + for (int d = 0; d < workResult.accessibilityValues.length; d++) { + int[][] percentilesForGrid = workResult.accessibilityValues[d]; if (writeAccessibilityCsv) { String originId = originPointSet.getId(workResult.taskId); // FIXME this is writing only accessibility for the first percentile and cutoff @@ -202,7 +231,7 @@ public synchronized void handleMessage (RegionalWorkResult workResult) { if (writeAccessibilityGrid) { for (int p = 0; p < nPercentiles; p++) { int[] cutoffsForPercentile = percentilesForGrid[p]; - GridResultWriter writer = accessibilityGridWriters[p]; + GridResultWriter writer = accessibilityGridWriters[d][p]; writer.writeOneOrigin(taskNumber, cutoffsForPercentile); } } @@ -247,7 +276,7 @@ public synchronized void handleMessage (RegionalWorkResult workResult) { * There are different dimension requirements for accessibility and travel time results, so two different methods. */ private void checkAccessibilityDimension (RegionalWorkResult workResult) { - checkDimension(workResult, "destination pointsets", workResult.accessibilityValues.length, 1); + checkDimension(workResult, "destination pointsets", workResult.accessibilityValues.length, this.nDestinationPointSets); for (int[][] percentilesForGrid : workResult.accessibilityValues) { checkDimension(workResult, "percentiles", percentilesForGrid.length, this.nPercentiles); for (int[] cutoffsForPercentile : percentilesForGrid) { @@ -273,8 +302,10 @@ private void checkTravelTimeDimension (RegionalWorkResult workResult) { /** Clean up and cancel this grid assembler, typically when a job is canceled while still being processed. */ public synchronized void terminate () throws IOException { if (writeAccessibilityGrid) { - for (GridResultWriter writer : accessibilityGridWriters) { - writer.terminate(); + for (GridResultWriter[] writers : accessibilityGridWriters) { + for (GridResultWriter writer : writers) { + writer.terminate(); + } } } if (writeAccessibilityCsv) { @@ -295,7 +326,7 @@ public File getGridBufferFile () { return null; } else { // TODO this returns only one buffer file, which has not been processed by the SelectingGridReducer - return accessibilityGridWriters[0].bufferFile; + return accessibilityGridWriters[0][0].bufferFile; } } diff --git a/src/main/java/com/conveyal/analysis/util/HttpUtils.java b/src/main/java/com/conveyal/analysis/util/HttpUtils.java new file mode 100644 index 00000000..5a89b1d8 --- /dev/null +++ b/src/main/java/com/conveyal/analysis/util/HttpUtils.java @@ -0,0 +1,30 @@ +package com.conveyal.analysis.util; + +import com.conveyal.analysis.AnalysisServerException; +import com.conveyal.r5.util.ExceptionUtils; +import org.apache.commons.fileupload.FileItem; +import org.apache.commons.fileupload.FileItemFactory; +import org.apache.commons.fileupload.disk.DiskFileItemFactory; +import org.apache.commons.fileupload.servlet.ServletFileUpload; + +import javax.servlet.http.HttpServletRequest; +import java.util.List; +import java.util.Map; + +public abstract class HttpUtils { + /** Extract files from a Spark Request containing RFC 1867 multipart form-based file upload data. */ + public static Map> getRequestFiles (HttpServletRequest req) { + // The Javadoc on this factory class doesn't say anything about thread safety. Looking at the source code it + // all looks threadsafe. But also very lightweight to instantiate, so in this code run by multiple threads + // we play it safe and always create a new factory. + // Setting a size threshold of 0 causes all files to be written to disk, which allows processing them in a + // uniform way in other threads, after the request handler has returned. + FileItemFactory fileItemFactory = new DiskFileItemFactory(0, null); + ServletFileUpload sfu = new ServletFileUpload(fileItemFactory); + try { + return sfu.parseParameterMap(req); + } catch (Exception e) { + throw AnalysisServerException.badRequest(ExceptionUtils.asString(e)); + } + } +} diff --git a/src/main/java/com/conveyal/file/FileStorageKey.java b/src/main/java/com/conveyal/file/FileStorageKey.java index cf690a5f..f4b8a8f5 100644 --- a/src/main/java/com/conveyal/file/FileStorageKey.java +++ b/src/main/java/com/conveyal/file/FileStorageKey.java @@ -9,12 +9,14 @@ public class FileStorageKey { public final String path; public FileStorageKey(String fullPath) { + checkForDirectoryTraversal(fullPath); int slashIndex = fullPath.indexOf("/"); bucket = fullPath.substring(0, slashIndex); path = fullPath.substring(slashIndex + 1); } public FileStorageKey(String bucket, String path) { + checkForDirectoryTraversal(path); this.bucket = bucket; this.path = path; } @@ -32,4 +34,14 @@ public String toString () { return String.format("[File storage key: bucket='%s', key='%s']", bucket, path); } + /** + * Validate user-provided paths to ensure they do not contain any sequence that would allow accessing files + * outside the intended file storage directory. + */ + public static void checkForDirectoryTraversal (String path) { + if (path.contains("../") || path.contains("..\\")) { + throw new IllegalArgumentException("Path looks like it could be a directory traversal attack."); + } + } + } diff --git a/src/main/java/com/conveyal/file/LocalFileStorage.java b/src/main/java/com/conveyal/file/LocalFileStorage.java index 4679d840..aebcc3b1 100644 --- a/src/main/java/com/conveyal/file/LocalFileStorage.java +++ b/src/main/java/com/conveyal/file/LocalFileStorage.java @@ -72,4 +72,5 @@ public void delete (FileStorageKey key) { public boolean exists(FileStorageKey key) { return getFile(key).exists(); } + } diff --git a/src/main/java/com/conveyal/r5/R5Main.java b/src/main/java/com/conveyal/r5/R5Main.java index 84e73d77..6aaa0dd7 100644 --- a/src/main/java/com/conveyal/r5/R5Main.java +++ b/src/main/java/com/conveyal/r5/R5Main.java @@ -1,6 +1,6 @@ package com.conveyal.r5; -import com.conveyal.r5.analyst.cluster.AnalystWorker; +import com.conveyal.r5.analyst.cluster.AnalysisWorker; import com.conveyal.r5.point_to_point.PointToPointRouterServer; import java.util.Arrays; @@ -27,7 +27,7 @@ public static void main (String... args) throws Exception { String command = args[0]; String[] commandArguments = Arrays.copyOfRange(args, 1, args.length); if ("worker".equals(command)) { - AnalystWorker.main(commandArguments); + AnalysisWorker.main(commandArguments); } else if ("point".equals(command)) { PointToPointRouterServer.main(commandArguments); } else { diff --git a/src/main/java/com/conveyal/r5/analyst/AccessibilityResult.java b/src/main/java/com/conveyal/r5/analyst/AccessibilityResult.java index 52d4f5c5..142e3436 100644 --- a/src/main/java/com/conveyal/r5/analyst/AccessibilityResult.java +++ b/src/main/java/com/conveyal/r5/analyst/AccessibilityResult.java @@ -1,6 +1,6 @@ package com.conveyal.r5.analyst; -import com.conveyal.r5.analyst.cluster.AnalysisTask; +import com.conveyal.r5.analyst.cluster.AnalysisWorkerTask; /** * This holds and accumulates multiple accessibility indicator values for a single origin as they are computed. @@ -20,8 +20,8 @@ public class AccessibilityResult { private final double[][][] cumulativeOpportunities; /** Construct an AccessibilityResult of the appropriate dimensions for the specified AnalysisTask. */ - public AccessibilityResult (AnalysisTask task) { - this.nPointSets = 1; + public AccessibilityResult (AnalysisWorkerTask task) { + this.nPointSets = task.destinationPointSetKeys.length; this.nPercentiles = task.percentiles.length; this.nCutoffs = task.cutoffsMinutes.length; cumulativeOpportunities = new double[nPointSets][nPercentiles][nCutoffs]; diff --git a/src/main/java/com/conveyal/r5/analyst/FilePersistence.java b/src/main/java/com/conveyal/r5/analyst/FilePersistence.java index d00f1140..1c7872fd 100644 --- a/src/main/java/com/conveyal/r5/analyst/FilePersistence.java +++ b/src/main/java/com/conveyal/r5/analyst/FilePersistence.java @@ -1,6 +1,6 @@ package com.conveyal.r5.analyst; -import com.conveyal.r5.analyst.cluster.AnalysisTask; +import com.conveyal.r5.analyst.cluster.AnalysisWorkerTask; import java.io.InputStream; @@ -16,7 +16,7 @@ public abstract class FilePersistence { * which is typically a bucket on S3. The top level directory is hard-coded for now but could be configurable * if and when actual use cases require it. */ - public void saveStaticSiteData (AnalysisTask task, String fileName, PersistenceBuffer persistenceBuffer) { + public void saveStaticSiteData (AnalysisWorkerTask task, String fileName, PersistenceBuffer persistenceBuffer) { String directoryName = "analysis-static/" + task.jobId; saveData(directoryName, fileName, persistenceBuffer); } diff --git a/src/main/java/com/conveyal/r5/analyst/Grid.java b/src/main/java/com/conveyal/r5/analyst/Grid.java index 8dd95341..151935d1 100644 --- a/src/main/java/com/conveyal/r5/analyst/Grid.java +++ b/src/main/java/com/conveyal/r5/analyst/Grid.java @@ -80,6 +80,7 @@ * TODO functionality to write and read grids should probably be in a separate class from the main Grid class. */ public class Grid extends PointSet { + public static final Logger LOG = LoggerFactory.getLogger(Grid.class); /** The web mercator zoom level for this grid. */ @@ -217,10 +218,19 @@ public List getPixelWeights (Geometry geometry, boolean relativeToP if (x < 0 || x >= width || y < 0 || y >= height) continue; // off the grid Geometry pixel = getPixelGeometry(x + west, y + north, zoom); - if (pixelAreaAtLat == -1) pixelAreaAtLat = pixel.getArea(); //Recalculate for a new latitude. - if (preparedGeom.intersects(pixel)){ // pixel is at least partly inside the feature + // Pixel completely within feature: + // This is an optimization following an example in the online JTS javadoc for containsProperly. + // The contains (vs. containsProperly) predicate could be used instead, but it is less efficient. In + // "edge" cases (pun intended) where a polygon contains but does not containProperly the pixel, + // the correct result will still be calculated below. + if (preparedGeom.containsProperly(pixel)) { + double weight = relativeToPixels ? 1 : pixelAreaAtLat / area; + weights.add(new PixelWeight(x, y, weight)); + } + // Pixel partly within feature: + else if (preparedGeom.intersects(pixel)){ Geometry intersection = pixel.intersection(geometry); double denominator = relativeToPixels ? pixelAreaAtLat : area; double weight = intersection.getArea() / denominator; diff --git a/src/main/java/com/conveyal/r5/analyst/NetworkPreloader.java b/src/main/java/com/conveyal/r5/analyst/NetworkPreloader.java index a849729f..b95c49fa 100644 --- a/src/main/java/com/conveyal/r5/analyst/NetworkPreloader.java +++ b/src/main/java/com/conveyal/r5/analyst/NetworkPreloader.java @@ -1,6 +1,6 @@ package com.conveyal.r5.analyst; -import com.conveyal.r5.analyst.cluster.AnalysisTask; +import com.conveyal.r5.analyst.cluster.AnalysisWorkerTask; import com.conveyal.r5.analyst.progress.NetworkPreloaderProgressListener; import com.conveyal.r5.analyst.progress.ProgressListener; import com.conveyal.r5.api.util.LegMode; @@ -79,7 +79,7 @@ public NetworkPreloader(TransportNetworkCache transportNetworkCache) { this.transportNetworkCache = transportNetworkCache; } - public LoaderState preloadData (AnalysisTask task) { + public LoaderState preloadData (AnalysisWorkerTask task) { if (task.scenario != null) { transportNetworkCache.rememberScenario(task.scenario); } @@ -98,7 +98,7 @@ protected TransportNetwork buildValue(Key key) { // reference the scenarioNetwork's built-in full-extent pointset, so can reuse its linkage. // TODO handle multiple destination grids. setProgress(key, 0, "Fetching gridded point set..."); - PointSet pointSet = AnalysisTask.gridPointSetCache.get(key.destinationGridExtents, scenarioNetwork.fullExtentGridPointSet); + PointSet pointSet = AnalysisWorkerTask.gridPointSetCache.get(key.destinationGridExtents, scenarioNetwork.fullExtentGridPointSet); // Now rebuild grid linkages as needed. One linkage per mode, and one cost table per egress mode. // Cost tables are slow to compute and not needed for access or direct legs, only egress modes. @@ -157,7 +157,7 @@ public static class Key { * * FIXME but should we really be injecting Grid objects into a class deserialized straight from JSON? */ - public Key (AnalysisTask task) { + public Key (AnalysisWorkerTask task) { this.networkId = task.graphId; // A supplied scenario ID will always override any full scenario that is present. this.scenarioId = task.scenarioId != null ? task.scenarioId : task.scenario.id; @@ -169,7 +169,7 @@ public Key (AnalysisTask task) { this.destinationGridExtents = task.getWebMercatorExtents(); } - public static Key forTask(AnalysisTask task) { + public static Key forTask(AnalysisWorkerTask task) { return new Key(task); } diff --git a/src/main/java/com/conveyal/r5/analyst/TravelTimeComputer.java b/src/main/java/com/conveyal/r5/analyst/TravelTimeComputer.java index c70a358e..406616f5 100644 --- a/src/main/java/com/conveyal/r5/analyst/TravelTimeComputer.java +++ b/src/main/java/com/conveyal/r5/analyst/TravelTimeComputer.java @@ -1,7 +1,7 @@ package com.conveyal.r5.analyst; import com.conveyal.r5.OneOriginResult; -import com.conveyal.r5.analyst.cluster.AnalysisTask; +import com.conveyal.r5.analyst.cluster.AnalysisWorkerTask; import com.conveyal.r5.analyst.cluster.PathWriter; import com.conveyal.r5.analyst.cluster.RegionalTask; import com.conveyal.r5.analyst.fare.InRoutingFareCalculator; @@ -44,11 +44,11 @@ public class TravelTimeComputer { private static final Logger LOG = LoggerFactory.getLogger(TravelTimeComputer.class); - private final AnalysisTask request; + private final AnalysisWorkerTask request; private final TransportNetwork network; /** Constructor. */ - public TravelTimeComputer (AnalysisTask request, TransportNetwork network) { + public TravelTimeComputer (AnalysisWorkerTask request, TransportNetwork network) { this.request = request; this.network = network; } @@ -82,16 +82,15 @@ public OneOriginResult computeTravelTimes() { // destination pointset is used for all steps below. // This reuses the logic for finding the appropriate grid size and linking, which is now in the NetworkPreloader. // We could change the preloader to retain these values in a compound return type, to avoid repetition here. - // TODO merge multiple destination pointsets from a regional request into a single supergrid? PointSet destinations; - if (request instanceof RegionalTask && ((RegionalTask) request).destinationPointSet instanceof FreeFormPointSet) { + if (request instanceof RegionalTask && ((RegionalTask) request).destinationPointSets[0] instanceof FreeFormPointSet) { // Freeform; destination pointset was set by handleOneRequest in the main AnalystWorker - destinations = ((RegionalTask) request).destinationPointSet; + destinations = ((RegionalTask) request).destinationPointSets[0]; } else { WebMercatorExtents destinationGridExtents = request.getWebMercatorExtents(); // Destination points can be inferred from a regular grid (WebMercatorGridPointSet) - destinations = AnalysisTask.gridPointSetCache.get(destinationGridExtents, network.fullExtentGridPointSet); + destinations = AnalysisWorkerTask.gridPointSetCache.get(destinationGridExtents, network.fullExtentGridPointSet); travelTimeReducer.checkOpportunityExtents(destinations); } @@ -192,9 +191,9 @@ public OneOriginResult computeTravelTimes() { accessMode ); - // FIXME this is iterating over every cell in the (possibly huge) destination grid just to get the access times around the origin. - // We could construct a sub-grid that's an envelope around sr.originSplit's lat/lon, then iterate over the - // points in that sub-grid. + // This is iterating over every cell in the (possibly huge) destination grid just to get the access times + // around the origin. If this is measured to be inefficient, we could construct a sub-grid that's an + // envelope around sr.originSplit's lat/lon, then iterate over the points in that sub-grid. Split origin = sr.getOriginSplit(); @@ -229,6 +228,7 @@ public OneOriginResult computeTravelTimes() { // If multiple P+Rs reach the same stop, only one with shortest time is returned. Stops were searched for during graph building phase. // time to stop is time from CAR streetrouter to stop + CAR PARK time + time to walk to stop based on request walk speed // by default 20 CAR PARKS are found it can be changed with sr.maxVertices variable + // FIXME we should not limit the number of car parks found. StreetRouter sr = new StreetRouter(network.streetLayer); sr.profileRequest = request; sr = PointToPointQuery.findParkRidePath(request, sr, network.transitLayer); @@ -240,7 +240,7 @@ public OneOriginResult computeTravelTimes() { foundAnyOriginPoint = true; } // Disallow non-transit access. - // TODO should we allow non transit access with park and ride? + // TODO should we allow non transit access with park and ride? Maybe with an additional parameter? nonTransitTravelTimesToDestinations = PointSetTimes.allUnreached(destinations); } diff --git a/src/main/java/com/conveyal/r5/analyst/TravelTimeReducer.java b/src/main/java/com/conveyal/r5/analyst/TravelTimeReducer.java index 03549c65..bd72d4eb 100644 --- a/src/main/java/com/conveyal/r5/analyst/TravelTimeReducer.java +++ b/src/main/java/com/conveyal/r5/analyst/TravelTimeReducer.java @@ -1,11 +1,11 @@ package com.conveyal.r5.analyst; -import com.beust.jcommander.ParameterException; import com.conveyal.r5.OneOriginResult; -import com.conveyal.r5.analyst.cluster.AnalysisTask; +import com.conveyal.r5.analyst.cluster.AnalysisWorkerTask; import com.conveyal.r5.analyst.cluster.RegionalTask; import com.conveyal.r5.analyst.cluster.TravelTimeResult; import com.conveyal.r5.analyst.cluster.TravelTimeSurfaceTask; +import com.conveyal.r5.analyst.decay.DecayFunction; import com.conveyal.r5.profile.FastRaptorWorker; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -13,6 +13,8 @@ import java.util.Arrays; import static com.conveyal.r5.profile.FastRaptorWorker.UNREACHED; +import static com.google.common.base.Preconditions.checkArgument; +import static com.google.common.base.Preconditions.checkState; /** * Given a bunch of travel times from an origin to a single destination point, this collapses that long list into a @@ -23,49 +25,47 @@ public class TravelTimeReducer { private static final Logger LOG = LoggerFactory.getLogger(TravelTimeReducer.class); - /** The largest number of cutoffs we'll accept in a task. Too many cutoffs can create very large output files. */ - public static final int MAX_CUTOFFS = 12; - - /** - * Maximum total travel time, above which a destination should be considered unreachable. Note the logic in - * analysis-backend AnalysisRequest, which sets this to the requested value for regional analyses, but keeps - * it at the default value from R5 ProfileRequest for single-point requests (which allow adjusting the cutoff - * after results have been calculated). - * - * CHANGING: this now just needs to be larger than the highest cutoff, or should be set to the max cutoff. - */ - private final int maxTripDurationMinutes; - private boolean calculateAccessibility; private boolean calculateTravelTimes; - /** - * Cumulative opportunities accessibility at this one particular origin. - * May be null if we're only recording travel times. - */ + /** Cumulative opportunities accessibility at one particular origin. null if we're only recording travel times. */ private AccessibilityResult accessibilityResult = null; - /** Reduced (e.g. at one percentile) travel time results. May be null if we're only recording accessibility. */ + /** Travel time results reduced to a limited number of percentiles. null if we're only recording accessibility. */ private TravelTimeResult travelTimeResult = null; /** If we are calculating accessibility, the PointSets containing opportunities. */ - private final PointSet[] destinationPointSets = new PointSet[1]; + private PointSet[] destinationPointSets; + /** TODO Explain. */ private final int[] percentileIndexes; + /** TODO Explain. */ private final int nPercentiles; - private int[] cutoffsMinutes; + /** TODO explain. */ + private int[] cutoffsSeconds; + /** TODO Explain. */ private int nCutoffs; + /** + * For each cutoff, the travel time in seconds at and above which the decay function will return zero weight. + * These are pre-calculated and retained because the default method for finding the zero point is by bisection, + * which should not be repeated in a tight loop. + */ + private int[] zeroPointsForCutoffs; + /** * The number of travel times we will record at each destination. * This is affected by the number of Monte Carlo draws requested and the departure time window. */ private final int timesPerDestination; + /** Provides a weighting factor for opportunities at a given travel time. */ + private final DecayFunction decayFunction; + /** * Reduce travel time values to requested summary outputs for each origin. The type of output (a single * cumulative opportunity accessibility value per origin, or selected percentiles of travel times to all @@ -85,10 +85,7 @@ public class TravelTimeReducer { * * @param task task to be performed. */ - public TravelTimeReducer (AnalysisTask task) { - - // Before regional analysis tasks are handled, their max trip duration is forced to the highest cutoff. - this.maxTripDurationMinutes = task.maxTripDurationMinutes; + public TravelTimeReducer (AnalysisWorkerTask task) { // Set timesPerDestination depending on how waiting time/travel time variability will be sampled if (task.inRoutingFareCalculator != null) { @@ -107,16 +104,12 @@ public TravelTimeReducer (AnalysisTask task) { // Validate and process the travel time percentiles. // We pre-compute the indexes at which we'll find each percentile in a sorted list of the given length. + task.validatePercentiles(); this.nPercentiles = task.percentiles.length; this.percentileIndexes = new int[nPercentiles]; for (int p = 0; p < nPercentiles; p++) { percentileIndexes[p] = findPercentileIndex(timesPerDestination, task.percentiles[p]); } - for (int p = 1; p < nPercentiles; p++) { - if (task.percentiles[p] < task.percentiles[p-1]) { - throw new IllegalArgumentException("Percentiles must be in ascending order."); - } - } // Decide whether we want to retain travel times to all destinations for this origin. // This is currently only used with regional tasks when origins are freeform pointsets. @@ -132,7 +125,7 @@ public TravelTimeReducer (AnalysisTask task) { RegionalTask regionalTask = (RegionalTask) task; if (regionalTask.recordAccessibility) { calculateAccessibility = true; - this.destinationPointSets[0] = regionalTask.destinationPointSet; + this.destinationPointSets = regionalTask.destinationPointSets; } if (regionalTask.recordTimes || regionalTask.makeTauiSite) { calculateTravelTimes = true; @@ -150,23 +143,17 @@ public TravelTimeReducer (AnalysisTask task) { // Validate and copy the travel time cutoffs, which only makes sense when calculating accessibility. // Validation should probably happen earlier when making or handling incoming tasks. + this.decayFunction = task.decayFunction; if (calculateAccessibility) { + task.validateCutoffsMinutes(); this.nCutoffs = task.cutoffsMinutes.length; - if (nCutoffs > MAX_CUTOFFS) { - throw new IllegalArgumentException("Maximum number of cutoffs allowed is " + MAX_CUTOFFS); - } - this.cutoffsMinutes = Arrays.copyOf(task.cutoffsMinutes, nCutoffs); - Arrays.sort(this.cutoffsMinutes); - if (! Arrays.equals(this.cutoffsMinutes, task.cutoffsMinutes)) { - throw new IllegalArgumentException("Cutoffs must be in ascending order."); - } - for (int cutoffMinutes : this.cutoffsMinutes) { - if (cutoffMinutes < 1 || cutoffMinutes > 120) { - throw new IllegalArgumentException("Accessibility time cutoffs must be in the range 1 to 120 minutes."); - } - } - if (maxTripDurationMinutes < this.cutoffsMinutes[nCutoffs - 1]) { - throw new IllegalArgumentException("Max trip duration must be at least as large as highest cutoff."); + // Convert cutoffs to seconds, to avoid repeated multiplication in tight loops. + this.cutoffsSeconds = new int[nCutoffs]; + this.zeroPointsForCutoffs = new int[nCutoffs]; + for (int c = 0; c < nCutoffs; c++) { + final int cutoffSeconds = task.cutoffsMinutes[c] * 60; + this.cutoffsSeconds[c] = cutoffSeconds; + this.zeroPointsForCutoffs[c] = decayFunction.reachesZeroAt(cutoffSeconds); } } @@ -194,12 +181,12 @@ private static int findPercentileIndex(int nElements, double percentile) { * Given a single unvarying travel time to a destination, replicate it to match the expected number of * percentiles, then record those n identical percentiles at the target. * - * @param timeSeconds Single travel time, for results with no variation, e.g. from walking, biking, or driving. + * @param timeSeconds a single travel time for results with no variation, e.g. from walking, biking, or driving. */ public void recordUnvaryingTravelTimeAtTarget (int target, int timeSeconds){ - int[] travelTimesMinutes = new int[nPercentiles]; - Arrays.fill(travelTimesMinutes, convertToMinutes(timeSeconds)); - recordTravelTimePercentilesForTarget(target, travelTimesMinutes); + int[] travelTimePercentilesSeconds = new int[nPercentiles]; + Arrays.fill(travelTimePercentilesSeconds, timeSeconds); + recordTravelTimePercentilesForTarget(target, travelTimePercentilesSeconds); } /** @@ -210,59 +197,76 @@ public void recordUnvaryingTravelTimeAtTarget (int target, int timeSeconds){ * @param timesSeconds which will be destructively sorted in place to extract percentiles. */ public void extractTravelTimePercentilesAndRecord (int target, int[] timesSeconds) { - // Sort the times at each target and extract percentiles at the pre-calculated indexes. - int[] travelTimePercentilesMinutes = new int[nPercentiles]; - if (timesSeconds.length == timesPerDestination) { - // Instead of general purpose sort this could be done by performing a counting sort on the times, - // converting them to minutes in the process and reusing the small histogram array (120 elements) which - // should remain largely in processor cache. That's a lot of division though. Would need to be profiled. - Arrays.sort(timesSeconds); - for (int p = 0; p < nPercentiles; p++) { - int timeSeconds = timesSeconds[percentileIndexes[p]]; - travelTimePercentilesMinutes[p] = convertToMinutes(timeSeconds); - } - } else { - throw new ParameterException(timesSeconds.length + " iterations supplied; expected " + timesPerDestination); + checkArgument(timesSeconds.length == timesPerDestination, + "Number of times supplied must match the number of iterations in this search."); + for (int i : timesSeconds) { + checkArgument(i >= 0, "Travel times must be positive."); } - recordTravelTimePercentilesForTarget(target, travelTimePercentilesMinutes); + + // Sort the travel times to this target and extract percentiles at the pre-calculated percentile indexes. + // We used to convert these to minutes before sorting, which may allow the sort to be more efficient. + // We even had a prototype counting sort that would take advantage of this detail. However, applying distance + // decay functions with one-second resolution decreases sensitivity to randomization error in travel times. + Arrays.sort(timesSeconds); + int[] percentileTravelTimesSeconds = new int[nPercentiles]; + for (int p = 0; p < nPercentiles; p++) { + percentileTravelTimesSeconds[p] = timesSeconds[percentileIndexes[p]]; + } + recordTravelTimePercentilesForTarget(target, percentileTravelTimesSeconds); } /** - * Given a list of travel times of the expected length, store the extracted percentiles of travel time (if a and/or - * accessibility values. - * NOTE we will actually receive 5 percentiles here in single point analysis since we request all 5 at once. + * Given a list of travel times in seconds, one for each percentile, store these percentiles of travel time + * at a particular target location and/or store the derived accessibility values at the origin location. Note that + * when handling a single point analysis we will receive 5 percentiles here since the UI requests all 5 at once. */ - private void recordTravelTimePercentilesForTarget (int target, int[] travelTimePercentilesMinutes) { - if (travelTimePercentilesMinutes.length != nPercentiles) { - throw new IllegalArgumentException("Supplied number of travel times did not match percentile count."); + private void recordTravelTimePercentilesForTarget (int target, int[] travelTimePercentilesSeconds) { + checkArgument(travelTimePercentilesSeconds.length == nPercentiles, + "Must supply exactly as many travel times as there are percentiles."); + for (int i : travelTimePercentilesSeconds) { + checkArgument(i >= 0, "Travel times must be positive."); } if (calculateTravelTimes) { - travelTimeResult.setTarget(target, travelTimePercentilesMinutes); + int[] percentileTravelTimesMinutes = new int[nPercentiles]; + for (int p = 0; p < nPercentiles; p++) { + percentileTravelTimesMinutes[p] = convertToMinutes(travelTimePercentilesSeconds[p]); + } + travelTimeResult.setTarget(target, percentileTravelTimesMinutes); } if (calculateAccessibility) { - // We only handle one grid at a time for now, because handling more than one grid will require transforming - // indexes between multiple grids possibly of different sizes (a GridIndexTransform class?). If these are - // for reads only, into a single super-grid, they will only need to add a single number to the width and y. - for (int d = 0; d < 1; d++) { + // This can handle multiple opportunity grids as long as they have exactly the same extents. + // That should cover common use cases but will eventually need to be adapted to handle multiple different + // grid extents. This will require transforming indexes between multiple grids possibly of different sizes + // (a GridIndexTransform class?). If the transform is only for reading into a single super-grid, they will + // only need to add a single number to the width and y. + for (int d = 0; d < destinationPointSets.length; d++) { final double opportunityCountAtTarget = destinationPointSets[d].getOpportunityCount(target); + if (!(opportunityCountAtTarget > 0)) { + continue; + } for (int p = 0; p < nPercentiles; p++) { - final int travelTimeMinutes = travelTimePercentilesMinutes[p]; - if (travelTimeMinutes == UNREACHED) { - // Percentiles should be sorted. If one is UNREACHED the rest will also be. + final int travelTimeSeconds = travelTimePercentilesSeconds[p]; + if (travelTimeSeconds == FastRaptorWorker.UNREACHED) { + // Percentiles should be sorted. If one is UNREACHED or above a cutoff, the rest will also be. + // This check is somewhat redundant since by virtue of being MAX_INT, UNREACHED is necessarily + // greater than or equal to the decay function's zero point at the highest cutoff. break; } - // Iterate backward through sorted cutoffs, to allow early bail-out when travel time exceeds cutoff. + // Iterate backward through sorted cutoffs, to allow early bail-out when travel time exceeds the + // point where the decay function reaches zero weight. for (int c = nCutoffs - 1; c >= 0; c--) { - final int cutoffMinutes = cutoffsMinutes[c]; - // Use of < here (as opposed to <=) matches the definition in JS front end, and works well when - // truncating seconds to minutes. This used to use TravelTimeReducer.maxTripDurationMinutes as - // the cutoff, now that's really the max travel time (which should be the max of all cutoffs). - // Might be more efficient to pass in all cutoffs at once to avoid repeated pointer math. - if (travelTimeMinutes < cutoffMinutes) { - accessibilityResult.incrementAccessibility(d, p, c, opportunityCountAtTarget); - } else { + final int cutoffSeconds = cutoffsSeconds[c]; + if (travelTimeSeconds >= zeroPointsForCutoffs[c]) { break; } + // Precomputing travel weight factors does not seem practical, as it would involve a + // 7200x7200 matrix containing about 415MB of coefficients. Reading through that much memory + // may well be slower than computing the coefficient each time it's needed. + double weightFactor = decayFunction.computeWeight(cutoffSeconds, travelTimeSeconds); + if (weightFactor > 0) { + double weightedOpportunityCount = opportunityCountAtTarget * weightFactor; + accessibilityResult.incrementAccessibility(d, p, c, weightedOpportunityCount); + } } } } @@ -270,27 +274,27 @@ private void recordTravelTimePercentilesForTarget (int target, int[] travelTimeP } /** - * Convert the given timeSeconds to minutes. If that time equals or exceeds the maxTripDurationMinutes, instead - * return a value indicating that the location is unreachable. The minutes to seconds conversion uses integer - * division, which truncates toward zero. This approach is correct for use in accessibility analysis, where we - * are always testing whether a travel time is less than a certain threshold value. For example, all travel times - * between 59 and 60 minutes will truncate to 59, and will correctly return true for the expression (t < 60 - * minutes). We are converting seconds to minutes before we export a binary format mainly to narrow the times so - * they fit into single bytes (though this also reduces entropy and makes compression more effective). Arguably - * this is coupling the backend too closely to the frontend (which makes use of UInt8 typed arrays); the front - * end could in principle receive a more general purpose format using wider or variable width integers. + * Convert the given timeSeconds to minutes, being careful to preserve UNREACHED values. + * The seconds to minutes conversion uses integer division, which truncates toward zero. This approach is correct + * for use in accessibility analysis, where we are always testing whether a travel time is less than a certain + * threshold value. For example, all travel times between 59 and 60 minutes will truncate to 59, and will + * correctly return true for the expression (t < 60 minutes). We are converting seconds to minutes before we + * export a binary format mainly to narrow the times so they fit into single bytes (though this also reduces + * entropy and makes compression more effective). Arguably this couplings the backend too closely to the frontend + * (which makes use of UInt8 typed arrays); the frontend could in principle receive a more general purpose format + * using wider or variable width integers. + * TODO revise Javadoc - these values don't seem to ever be used in accessibility or reported to the UI. */ private int convertToMinutes (int timeSeconds) { - if (timeSeconds == UNREACHED) return UNREACHED; - int timeMinutes = timeSeconds / FastRaptorWorker.SECONDS_PER_MINUTE; - if (timeMinutes < maxTripDurationMinutes) { - return timeMinutes; - } else { + // This check is a bit redundant, UNREACHED is always >= any integer pruning threshold. + if (timeSeconds == UNREACHED) { return UNREACHED; + } else { + int timeMinutes = timeSeconds / FastRaptorWorker.SECONDS_PER_MINUTE; + return timeMinutes; } } - /** * If no travel times to destinations have been streamed in by calling recordTravelTimesForTarget, the * TimeGrid will have a buffer full of UNREACHED. This allows shortcutting around @@ -307,9 +311,8 @@ public OneOriginResult finish () { public void checkOpportunityExtents (PointSet travelTimePointSet) { if (calculateAccessibility) { for (PointSet opportunityPointSet : destinationPointSets) { - if (!opportunityPointSet.getWebMercatorExtents().equals(travelTimePointSet.getWebMercatorExtents())) { - throw new AssertionError("Travel time would be calculated to a PointSet that does not match " + "the opportunity PointSet."); - } + checkState(opportunityPointSet.getWebMercatorExtents().equals(travelTimePointSet.getWebMercatorExtents()), + "Travel time would be calculated to a PointSet that does not match the opportunity PointSet."); } } } diff --git a/src/main/java/com/conveyal/r5/analyst/WebMercatorExtents.java b/src/main/java/com/conveyal/r5/analyst/WebMercatorExtents.java index 1e143ddf..f83b08c6 100644 --- a/src/main/java/com/conveyal/r5/analyst/WebMercatorExtents.java +++ b/src/main/java/com/conveyal/r5/analyst/WebMercatorExtents.java @@ -1,12 +1,15 @@ package com.conveyal.r5.analyst; -import com.conveyal.r5.analyst.cluster.AnalysisTask; +import com.conveyal.r5.analyst.cluster.AnalysisWorkerTask; import org.locationtech.jts.geom.Envelope; import java.util.Arrays; import static com.conveyal.r5.analyst.Grid.latToPixel; import static com.conveyal.r5.analyst.Grid.lonToPixel; +import static com.google.common.base.Preconditions.checkArgument; +import static com.google.common.base.Preconditions.checkElementIndex; +import static com.google.common.base.Preconditions.checkNotNull; /** * Really we should be embedding one of these in the tasks, grids, etc. to factor out all the common fields. @@ -32,19 +35,27 @@ public WebMercatorExtents (int west, int north, int width, int height, int zoom) this.zoom = zoom; } - public static WebMercatorExtents forTask (AnalysisTask task) { + public static WebMercatorExtents forTask (AnalysisWorkerTask task) { return new WebMercatorExtents(task.west, task.north, task.width, task.height, task.zoom); } - public static WebMercatorExtents forGrid (PointSet pointSet) { - if (pointSet instanceof Grid) { - Grid grid = (Grid) pointSet; - return new WebMercatorExtents(grid.west, grid.north, grid.width, grid.height, grid.zoom); + public static WebMercatorExtents forPointsets (PointSet[] pointSets) { + checkNotNull(pointSets); + checkElementIndex(0, pointSets.length, "You must supply at least one destination PointSet."); + if (pointSets[0] instanceof Grid) { + WebMercatorExtents extents = pointSets[0].getWebMercatorExtents(); + // TODO handle case of pointsets with different extents; for now just validate that they are identical. + for (PointSet pointSet : pointSets) { + checkArgument(pointSet instanceof Grid, "All destination PointSets must be of the same type."); + checkArgument(extents.equals(pointSet.getWebMercatorExtents())); + } + return extents; } else { // Temporary way to bypass network preloading while freeform pointset functionality is being // developed. For now, the null return value is used in TravelTimeComputer to signal that the worker // should use a provided freeform pointset, rather than creating a WebMercatorGridPointSet based on the // parameters of the request. + checkArgument(pointSets.length == 1, "You may only specify one non-gridded PointSet."); return null; } } diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/AnalystWorker.java b/src/main/java/com/conveyal/r5/analyst/cluster/AnalysisWorker.java similarity index 93% rename from src/main/java/com/conveyal/r5/analyst/cluster/AnalystWorker.java rename to src/main/java/com/conveyal/r5/analyst/cluster/AnalysisWorker.java index a2f5d14a..247ec61a 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/AnalystWorker.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/AnalysisWorker.java @@ -45,6 +45,7 @@ import java.time.LocalDateTime; import java.time.format.DateTimeFormatter; import java.util.ArrayList; +import java.util.Arrays; import java.util.HashMap; import java.util.List; import java.util.Map; @@ -57,8 +58,10 @@ import java.util.concurrent.ThreadPoolExecutor; import java.util.concurrent.TimeUnit; +import static com.conveyal.r5.profile.PerTargetPropagater.SECONDS_PER_MINUTE; import static com.google.common.base.Preconditions.checkElementIndex; import static com.google.common.base.Preconditions.checkNotNull; +import static com.google.common.base.Preconditions.checkState; /** * This is a main class run by worker machines in our Analysis computation cluster. @@ -68,10 +71,8 @@ * * The worker can poll for work over two different channels. One is for large asynchronous batch jobs, the other is * intended for interactive single point requests that should return as fast as possible. - * - * TODO rename AnalysisWorker <--- */ -public class AnalystWorker implements Runnable { +public class AnalysisWorker implements Runnable { /** * Worker ID - just a random ID so we can differentiate machines used for computation. @@ -89,7 +90,7 @@ public class AnalystWorker implements Runnable { */ public static final String machineId = UUID.randomUUID().toString().replaceAll("-", ""); - private static final Logger LOG = LoggerFactory.getLogger(AnalystWorker.class); + private static final Logger LOG = LoggerFactory.getLogger(AnalysisWorker.class); private static final String DEFAULT_BROKER_ADDRESS = "localhost"; @@ -170,7 +171,7 @@ void adjustShutdownClock (int keepAliveMinutes) { ThroughputTracker throughputTracker = new ThroughputTracker(); /** - * This worker will only listen for inccoming single point requests if this field is true when run() is invoked. + * This worker will only listen for incoming single point requests if this field is true when run() is invoked. * Setting this to false before running creates a regional-only cluster worker. This is useful in testing when * running many workers on the same machine. */ @@ -218,7 +219,7 @@ public static HttpClient makeHttpClient () { /** The HTTP server that receives single-point requests. */ private spark.Service sparkHttpService; - public static AnalystWorker forConfig (Properties config) { + public static AnalysisWorker forConfig (Properties config) { // FIXME why is there a separate configuration parsing section here? Why not always make the cache based on the configuration? // FIXME why is some configuration done here and some in the constructor? boolean workOffline = Boolean.parseBoolean(config.getProperty("work-offline", "false")); @@ -236,11 +237,11 @@ public static AnalystWorker forConfig (Properties config) { GTFSCache gtfsCache = new GTFSCache(fileStore, () -> graphsBucket); TransportNetworkCache cache = new TransportNetworkCache(fileStore, gtfsCache, osmCache, graphsBucket); - return new AnalystWorker(config, fileStore, cache); + return new AnalysisWorker(config, fileStore, cache); } // TODO merge this constructor with the forConfig factory method, so we don't have different logic for local and cluster workers - public AnalystWorker(Properties config, FileStorage fileStore, TransportNetworkCache transportNetworkCache) { + public AnalysisWorker (Properties config, FileStorage fileStore, TransportNetworkCache transportNetworkCache) { // print out date on startup so that CloudWatch logs has a unique fingerprint LOG.info("Analyst worker {} starting at {}", machineId, LocalDateTime.now().format(DateTimeFormatter.ISO_DATE_TIME)); @@ -491,18 +492,22 @@ protected void handleOneRegionalTask(RegionalTask task) { task.recordAccessibility = false; } - try { - // Having a non-null opportunity density grid in the task triggers the computation of accessibility values. - // The pointSet should not be set on static site tasks (or single-point tasks which don't even have the field). - // Resolve the grid ID to an actual grid - this is important to determine the grid extents for the path. - // Fetching data grids should be relatively fast so we can do it synchronously. - // Perhaps this can be done higher up in the call stack where we know whether or not it's a regional task. - // TODO move this after the asynchronous loading of the rest of the necessary data? - if (!task.makeTauiSite) { - task.destinationPointSet = pointSetCache.get(task.grid); - } + // Bump the max trip duration up to find opportunities past the cutoff when using wide decay functions. + // Save the existing hard-cutoff value which is used when saving travel times. + // TODO this needs to happen for both regional and single point tasks when calculating accessibility on the worker + { + task.decayFunction.prepare(); + int maxCutoffMinutes = Arrays.stream(task.cutoffsMinutes).max().getAsInt(); + int maxTripDurationSeconds = task.decayFunction.reachesZeroAt(maxCutoffMinutes * SECONDS_PER_MINUTE); + int maxTripDurationMinutes = (int)(Math.ceil(maxTripDurationSeconds / 60D)); + checkState(maxTripDurationMinutes <= 120, "Distance decay function must reach zero at or before 120 minutes."); + task.maxTripDurationMinutes = maxTripDurationMinutes; + LOG.info("Maximum cutoff was {} minutes, limiting trip duration to {} minutes based on decay function {}.", + maxCutoffMinutes, maxTripDurationMinutes, task.decayFunction.getClass().getSimpleName()); + } - // TODO (re)validate multi-percentle and multi-cutoff parameters. Validation currently in TravelTimeReducer. + try { + // TODO (re)validate multi-percentile and multi-cutoff parameters. Validation currently in TravelTimeReducer. // This version should require both arrays to be present, and single values to be missing. // Using a newer backend, the task should have been normalized to use arrays not single values. checkNotNull(task.cutoffsMinutes, "This worker requires an array of cutoffs (rather than a single value)."); @@ -521,6 +526,13 @@ protected void handleOneRegionalTask(RegionalTask task) { TransportNetwork transportNetwork = networkPreloader.transportNetworkCache.getNetworkForScenario(task .graphId, task.scenarioId); + // Static site tasks do not specify destinations, but all other regional tasks should. + // Load the PointSets based on the IDs (actually, full storage keys including IDs) in the task. + // The presence of these grids in the task will then trigger the computation of accessibility values. + if (!task.makeTauiSite) { + task.loadAndValidateDestinationPointSets(pointSetCache); + } + // If we are generating a static site, there must be a single metadata file for an entire batch of results. // Arbitrarily we create this metadata as part of the first task in the job. if (task.makeTauiSite && task.taskId == 0) { @@ -681,21 +693,21 @@ public List getSomeWork () { /** * Generate and write out metadata describing what's in a directory of static site output. */ - public static void saveStaticSiteMetadata (AnalysisTask analysisTask, TransportNetwork network) { + public static void saveStaticSiteMetadata (AnalysisWorkerTask analysisWorkerTask, TransportNetwork network) { try { // Save the regional analysis request, giving the UI some context to display the results. // This is the request object sent to the workers to generate these static site regional results. - PersistenceBuffer buffer = PersistenceBuffer.serializeAsJson(analysisTask); - AnalystWorker.filePersistence.saveStaticSiteData(analysisTask, "request.json", buffer); + PersistenceBuffer buffer = PersistenceBuffer.serializeAsJson(analysisWorkerTask); + AnalysisWorker.filePersistence.saveStaticSiteData(analysisWorkerTask, "request.json", buffer); // Save non-fatal warnings encountered applying the scenario to the network for this regional analysis. buffer = PersistenceBuffer.serializeAsJson(network.scenarioApplicationWarnings); - AnalystWorker.filePersistence.saveStaticSiteData(analysisTask, "warnings.json", buffer); + AnalysisWorker.filePersistence.saveStaticSiteData(analysisWorkerTask, "warnings.json", buffer); // Save transit route data that allows rendering paths with the Transitive library in a separate file. TransitiveNetwork transitiveNetwork = new TransitiveNetwork(network.transitLayer); buffer = PersistenceBuffer.serializeAsJson(transitiveNetwork); - AnalystWorker.filePersistence.saveStaticSiteData(analysisTask, "transitive.json", buffer); + AnalysisWorker.filePersistence.saveStaticSiteData(analysisWorkerTask, "transitive.json", buffer); } catch (Exception e) { LOG.error("Exception saving static metadata: {}", ExceptionUtils.asString(e)); throw new RuntimeException(e); @@ -728,7 +740,7 @@ public static void main (String[] args) { return; } try { - AnalystWorker.forConfig(config).run(); + AnalysisWorker.forConfig(config).run(); } catch (Exception e) { LOG.error("Unhandled error in analyst worker, shutting down. " + ExceptionUtils.asString(e)); } diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/AnalysisWorkerController.java b/src/main/java/com/conveyal/r5/analyst/cluster/AnalysisWorkerController.java index 14b7bcb5..6e31b97a 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/AnalysisWorkerController.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/AnalysisWorkerController.java @@ -17,7 +17,7 @@ import java.util.List; import java.util.Map; -import static com.conveyal.r5.analyst.cluster.AnalystWorker.addWarningAndInfoJson; +import static com.conveyal.r5.analyst.cluster.AnalysisWorker.addWarningAndInfoJson; /** * This class contains Spark HTTP request handler methods that are served up by Analysis workers. @@ -28,10 +28,10 @@ public class AnalysisWorkerController { private static final Logger LOG = LoggerFactory.getLogger(AnalysisWorkerController.class); - private final AnalystWorker analystWorker; + private final AnalysisWorker analysisWorker; - public AnalysisWorkerController (AnalystWorker analystWorker) { - this.analystWorker = analystWorker; + public AnalysisWorkerController (AnalysisWorker analysisWorker) { + this.analysisWorker = analysisWorker; } public Object handleSinglePoint (Request request, Response response) throws IOException { @@ -48,7 +48,7 @@ public Object handleSinglePoint (Request request, Response response) throws IOEx try { try { - byte[] binaryResult = analystWorker.handleOneSinglePointTask(task); + byte[] binaryResult = analysisWorker.handleOneSinglePointTask(task); response.status(HttpStatus.OK_200); if (task.getFormat().equals(TravelTimeSurfaceTask.Format.GEOTIFF)) { response.header("Content-Type", "application/x-geotiff"); diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/AnalysisTask.java b/src/main/java/com/conveyal/r5/analyst/cluster/AnalysisWorkerTask.java similarity index 52% rename from src/main/java/com/conveyal/r5/analyst/cluster/AnalysisTask.java rename to src/main/java/com/conveyal/r5/analyst/cluster/AnalysisWorkerTask.java index 9f3c1d38..d9ce6fa9 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/AnalysisTask.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/AnalysisWorkerTask.java @@ -1,26 +1,42 @@ package com.conveyal.r5.analyst.cluster; +import com.conveyal.r5.analyst.FreeFormPointSet; +import com.conveyal.r5.analyst.PointSet; +import com.conveyal.r5.analyst.PointSetCache; import com.conveyal.r5.analyst.WebMercatorExtents; import com.conveyal.r5.analyst.WebMercatorGridPointSetCache; import com.conveyal.r5.analyst.WorkerCategory; +import com.conveyal.r5.analyst.decay.DecayFunction; import com.conveyal.r5.profile.ProfileRequest; import com.fasterxml.jackson.annotation.JsonIgnore; import com.fasterxml.jackson.annotation.JsonSubTypes; import com.fasterxml.jackson.annotation.JsonTypeInfo; +import static com.google.common.base.Preconditions.checkArgument; +import static com.google.common.base.Preconditions.checkNotNull; +import static com.google.common.base.Preconditions.checkState; + /** - * Describes an analysis task to be performed. - * Instances are serialized and sent from the backend to workers when processing regional analyses. - * By default, the task will be a travelTimeSurfaceTask for one origin. - * This task is completed by returning a grid of total travel times from that origin to all destinations. + * Describes an analysis task to be performed for a single origin, on its own or as part of a multi-origin analysis. + * Instances are serialized and sent from the backend to workers. */ @JsonTypeInfo(use= JsonTypeInfo.Id.NAME, include=JsonTypeInfo.As.PROPERTY, property = "type") @JsonSubTypes({ - // these match the enum values in AnalysisTask.Type + // these match the enum values in AnalysisWorkerTask.Type @JsonSubTypes.Type(name = "TRAVEL_TIME_SURFACE", value = TravelTimeSurfaceTask.class), @JsonSubTypes.Type(name = "REGIONAL_ANALYSIS", value = RegionalTask.class) }) -public abstract class AnalysisTask extends ProfileRequest { +public abstract class AnalysisWorkerTask extends ProfileRequest { + + /** + * The largest number of cutoffs we'll accept in a task. Too many cutoffs can create very large output files. + * Note that when we begin calculating single-point accessibility on the worker instead of in the UI, there will + * frequently be 120 cutoffs. Then this limit will only apply to regional analyses, not single-point. + */ + public static final int MAX_CUTOFFS = 12; + + /** The largest number of percentiles we'll accept in a task. */ + public static final int MAX_PERCENTILES = 5; /** * A loading cache of gridded pointSets (not opportunity data grids), shared statically among all single point and @@ -45,13 +61,20 @@ public abstract class AnalysisTask extends ProfileRequest { /** The commit of r5 the worker should be running when it processes this task. */ public String workerVersion; - /** The job ID this is associated with. */ + /** + * The job ID this is associated with. + * TODO it seems like this should be equal to RegionalAnalysis._id, and be called regionalAnalysisId. + * This seems to be only relevant for regional tasks but is on the shared superclass (push it down?) + */ public String jobId; /** The id of this particular origin. */ public String originId; - /** A unique identifier for this task assigned by the queue/broker system. */ + /** + * A unique identifier for this task assigned by the queue/broker system. + * TODO This seems to be only relevant for regional tasks but is on the shared superclass (push it down?) + */ public int taskId; /** @@ -84,7 +107,7 @@ public abstract class AnalysisTask extends ProfileRequest { * A single cutoff was previously determined by superclass field ProfileRequest.maxTripDurationMinutes. * That field still cuts off the travel search at a certain number of minutes, so it is set to the highest cutoff. * Note this will only be set for accessibility calculation tasks, not for travel time surfaces. - * TODO move it to the regional task subclass? Should this be called cutoffsMinutes as elsewhere? + * TODO move it to the regional task subclass? */ public int[] cutoffsMinutes; @@ -102,6 +125,29 @@ public abstract class AnalysisTask extends ProfileRequest { */ public boolean logRequest = false; + /** + * The distance decay function applied to make more distant opportunities + * Deserialized into various subtypes from JSON. + */ + public DecayFunction decayFunction; + + /** + * The storage keys for the pointsets we will compute access to. The format is regionId/datasetId.fileFormat. + * Ideally we'd just provide the IDs of the grids, but creating the key requires us to know the region + * ID and file format, which are not otherwise easily available. + */ + public String[] destinationPointSetKeys; + + /** + * The pointsets we are calculating accessibility to, including opportunity density data (not bare sets of points). + * Note that these are transient - they are not serialized and sent over the wire, they are loaded by the worker + * from the storage location specified by the destinationPointSetKeys. + * + * For now, if the destinations are grids, there may be more than one but they must have the same WebMercatorExtents; + * if the destinations are freeform points, only a single pointset is allowed. + */ + public transient PointSet[] destinationPointSets; + /** * Is this a single point or regional request? Needed to encode types in JSON serialization. Can that type field be * added automatically with a serializer annotation instead of by defining a getter method and two dummy methods? @@ -139,9 +185,9 @@ of travel time (e.g. waiting) and paths should also be returned. REGIONAL_ANALYSIS } - public AnalysisTask clone () { + public AnalysisWorkerTask clone () { // no need to catch CloneNotSupportedException, it's caught in ProfileRequest::clone - return (AnalysisTask) super.clone(); + return (AnalysisWorkerTask) super.clone(); } /** @@ -149,4 +195,60 @@ public AnalysisTask clone () { */ public abstract int nTargetsPerOrigin(); + /** + * Populate this task's transient array of destination PointSets, loading each destination PointSet key from the + * supplied cache. The PointSets themselves are not serialized and sent over to the worker in the task, so this + * method is called by the worker to materialize them. + * + * For now, this requires grids with the same extents. Future enhancements could first create a stack of aligned + * targets, with appropriate indexing. + * + * TODO merge multiple destination pointsets from a regional request into a single supergrid? + */ + public void loadAndValidateDestinationPointSets (PointSetCache pointSetCache) { + checkNotNull(destinationPointSetKeys); + int nPointSets = destinationPointSetKeys.length; + checkState(nPointSets > 0 && nPointSets <= 10, + "You must specify at least 1 destination PointSet, but no more than 10."); + destinationPointSets = new PointSet[nPointSets]; + for (int i = 0; i < nPointSets; i++) { + PointSet pointSet = pointSetCache.get(destinationPointSetKeys[i]); + checkNotNull(pointSet, "Could not load PointSet specified in regional task."); + destinationPointSets[i] = pointSet; + if (pointSet instanceof FreeFormPointSet) { + checkArgument(nPointSets == 1, + "If a freeform destination PointSet is specified, it must be the only one."); + } else { + checkArgument(pointSet.getWebMercatorExtents().equals(destinationPointSets[0].getWebMercatorExtents()), + "If multiple grids are specified as destinations, they must have identical extents."); + } + } + } + + public void validatePercentiles () { + checkNotNull(percentiles); + int nPercentiles = percentiles.length; + checkArgument(nPercentiles <= MAX_PERCENTILES, "Maximum number of percentiles allowed is " + MAX_PERCENTILES); + for (int p = 0; p < nPercentiles; p++) { + checkArgument(percentiles[p] > 0 && percentiles[p] < 100, "Percentiles must be in range [1, 99]."); + if (p > 0) { + checkState(percentiles[p] >= percentiles[p - 1], "Percentiles must be in ascending order."); + } + } + } + + public void validateCutoffsMinutes () { + checkNotNull(cutoffsMinutes); + int nCutoffs = cutoffsMinutes.length; + checkArgument(nCutoffs >= 1, "At least one cutoff must be supplied."); + checkArgument(nCutoffs <= MAX_CUTOFFS, "Maximum number of cutoffs allowed is " + MAX_CUTOFFS); + for (int c = 0; c < nCutoffs; c++) { + checkArgument(cutoffsMinutes[c] > 0, "Cutoffs must be positive integers."); + checkArgument(cutoffsMinutes[c] <= 120, "Cutoffs must be at most 120 minutes."); + if (c > 0) { + checkArgument(cutoffsMinutes[c] >= cutoffsMinutes[c - 1], "Cutoffs must be in ascending order."); + } + } + } + } diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/GridResultAssembler.java b/src/main/java/com/conveyal/r5/analyst/cluster/GridResultAssembler.java index a5bb3f05..5973437d 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/GridResultAssembler.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/GridResultAssembler.java @@ -41,7 +41,7 @@ public class GridResultAssembler { private static final AmazonS3 s3 = AmazonS3ClientBuilder.defaultClient(); - public final AnalysisTask request; + public final AnalysisWorkerTask request; private File bufferFile; @@ -72,7 +72,7 @@ public class GridResultAssembler { * Construct an assembler for a single regional analysis result grid. * This also creates the on-disk scratch buffer into which the results from the workers will be accumulated. */ - public GridResultAssembler (AnalysisTask request, String outputBucket) { + public GridResultAssembler (AnalysisWorkerTask request, String outputBucket) { this.request = request; this.outputBucket = outputBucket; nTotal = request.width * request.height; diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/JobSimulator.java b/src/main/java/com/conveyal/r5/analyst/cluster/JobSimulator.java index 7fbc09a0..23211894 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/JobSimulator.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/JobSimulator.java @@ -56,7 +56,7 @@ public void sendFakeJob() { // FIXME API now expects one single request defining a grid, rather than a list of requests - List requests = new ArrayList<>(); + List requests = new ArrayList<>(); IntStream.range(0, nOrigins).forEach(i -> { // Enqueue one fake origin diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/PathWriter.java b/src/main/java/com/conveyal/r5/analyst/cluster/PathWriter.java index 19733a84..5d434282 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/PathWriter.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/PathWriter.java @@ -34,7 +34,7 @@ public class PathWriter { public static final int NO_PATH = -1; /** The task that created the paths being recorded. */ - private final AnalysisTask task; + private final AnalysisWorkerTask task; /** A list of unique paths, each one associated with a positive integer index by its position in the list. */ private final List pathForIndex = new ArrayList<>(); @@ -59,7 +59,7 @@ public class PathWriter { private final TIntList pathIndexes = new TIntArrayList(); /** Constructor. Holds onto the task object, which is used to create unique names for the results files. */ - public PathWriter (AnalysisTask task) { + public PathWriter (AnalysisWorkerTask task) { this.task = task; this.nTargets = task.width * task.height; indexForPath = new TObjectIntHashMap<>(nTargets / 2, 0.5f, NO_PATH); @@ -154,7 +154,7 @@ public void finishAndStorePaths () { } persistenceBuffer.doneWriting(); String pathFileName = task.taskId + "_paths.dat"; - AnalystWorker.filePersistence.saveStaticSiteData(task, pathFileName, persistenceBuffer); + AnalysisWorker.filePersistence.saveStaticSiteData(task, pathFileName, persistenceBuffer); } } diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/RegionalTask.java b/src/main/java/com/conveyal/r5/analyst/cluster/RegionalTask.java index c660108b..f2e22901 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/RegionalTask.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/RegionalTask.java @@ -1,35 +1,30 @@ package com.conveyal.r5.analyst.cluster; -import com.conveyal.r5.analyst.PointSet; import com.conveyal.r5.analyst.WebMercatorExtents; /** * Represents a task to be performed as part of a regional analysis. * Instances are serialized and sent from the backend to workers when processing regional analyses. */ -public class RegionalTask extends AnalysisTask implements Cloneable { +public class RegionalTask extends AnalysisWorkerTask implements Cloneable { /** - * The pointset key (e.g. regionId/datasetId.grid) on S3 to compute access to. Still named grid (instead of - * destinationPointSetId for backward compatibility, namely the ability to start regional jobs on old worker - * versions). + * The storage key for the pointset we will compute access to (e.g. regionId/datasetId.grid). + * This is named grid instead of destinationPointSetId for backward compatibility, namely the ability to start + * regional jobs on old worker versions that expect the property "grid". + * * Overloaded to specify a set of destination points which may or may not have densities attached. * In fact this ID is taken from a field called "opportunityDatasetId" in the request coming from the UI. So we've * got several slightly conflicting names and concepts. * - * If this is not blank, the default TravelTimeSurfaceTask will be overridden; returnInVehicleTimes, + * TODO revise and improve the below explanation: + * If this is not blank, the default TravelTimeSurfaceTask will be overridden; returnInVehicleTimes, * returnWaitTimes, and returnPaths will be set to false; and the returned results will be an accessibility value - * per origin, rather than a grid of travel times from that origin. // TODO revise and improve this explanation + * per origin, rather than a grid of travel times from that origin. */ + @Deprecated public String grid; - /** - * The pointset we are calculating accessibility to. - * This includes opportunity density data, it's not a bare set of points. - * This is not serialized into the request, it's looked up by the worker. - */ - public transient PointSet destinationPointSet; - /** * Key for pointset (e.g. regionId/datasetId.pointset) from which to calculate travel times or accessibility */ @@ -61,15 +56,15 @@ public Type getType() { * For Taui sites, there is no opportunity grid. The grid of destinations is the extents given in the task, * which for static sites is also the grid of origins. * - * For standard, non-Taui regional analyses, we expect a valid grid of opportunities to be specified as the - * destinations. This is necessary to compute accessibility. So we extract those bounds from the grids. + * For standard, non-Taui regional analyses, we expect at least one valid grid of opportunities to be specified as + * the destinations. This is necessary to compute accessibility. So we extract those bounds from the grids. */ @Override public WebMercatorExtents getWebMercatorExtents() { if (makeTauiSite) { return WebMercatorExtents.forTask(this); } else { - return WebMercatorExtents.forGrid(this.destinationPointSet); + return WebMercatorExtents.forPointsets(this.destinationPointSets); } } @@ -94,7 +89,7 @@ public int nTargetsPerOrigin () { } else if (makeTauiSite) { return width * height; } else { - return destinationPointSet.featureCount(); + return destinationPointSets[0].featureCount(); } } diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/TimeGridWriter.java b/src/main/java/com/conveyal/r5/analyst/cluster/TimeGridWriter.java index e5a6309d..3fe006b4 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/TimeGridWriter.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/TimeGridWriter.java @@ -68,7 +68,7 @@ public class TimeGridWriter { private final TravelTimeResult travelTimeResult; - private final AnalysisTask analysisTask; + private final AnalysisWorkerTask analysisWorkerTask; private final WebMercatorExtents extents; @@ -80,10 +80,10 @@ public class TimeGridWriter { * Create a new in-memory time grid writer for the supplied TravelTimeResult, which is interpreted as a * rectangular grid matching the supplied WebMercatorExtents. */ - public TimeGridWriter (TravelTimeResult travelTimeResult, AnalysisTask analysisTask) { + public TimeGridWriter (TravelTimeResult travelTimeResult, AnalysisWorkerTask analysisWorkerTask) { this.travelTimeResult = travelTimeResult; - this.analysisTask = analysisTask; - this.extents = WebMercatorExtents.forTask(analysisTask); + this.analysisWorkerTask = analysisWorkerTask; + this.extents = WebMercatorExtents.forTask(analysisWorkerTask); if (travelTimeResult.nPoints != extents.width * extents.height) { throw new ParameterException("Travel time cannot be for a grid of this dimension."); } @@ -181,8 +181,8 @@ public void writeGeotiff (OutputStream out) { GeoTiffWriter writer = new GeoTiffWriter(out); // If the request that produced this TimeGrid was supplied, write scenario metadata into the GeoTIFF - if (analysisTask != null) { - AnalysisTask clonedRequest = analysisTask.clone(); + if (analysisWorkerTask != null) { + AnalysisWorkerTask clonedRequest = analysisWorkerTask.clone(); // Save the scenario ID rather than the full scenario, to avoid making metadata too large. We're not // losing information here, the scenario id used here is qualified with the CRC and is thus immutable // and available from S3. diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/TravelTimeResult.java b/src/main/java/com/conveyal/r5/analyst/cluster/TravelTimeResult.java index 64a0d1b9..2de2572f 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/TravelTimeResult.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/TravelTimeResult.java @@ -20,7 +20,7 @@ public class TravelTimeResult { // Travel time values, indexed by percentile (sample) and target (grid cell/point) int[][] values; - public TravelTimeResult(AnalysisTask task) { + public TravelTimeResult(AnalysisWorkerTask task) { nPoints = task.nTargetsPerOrigin(); nSamplesPerPoint = task.percentiles.length; // Initialization: Fill the values array the default unreachable value. diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/TravelTimeSurfaceTask.java b/src/main/java/com/conveyal/r5/analyst/cluster/TravelTimeSurfaceTask.java index 4f526227..6f56dce3 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/TravelTimeSurfaceTask.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/TravelTimeSurfaceTask.java @@ -9,7 +9,7 @@ * times to each destination. Several travel times to each destination are returned, representing * selected percentiles of all travel times from the chosen origin to that destination. */ -public class TravelTimeSurfaceTask extends AnalysisTask { +public class TravelTimeSurfaceTask extends AnalysisWorkerTask { // FIXME red flag - what is this enum enumerating Java types? diff --git a/src/main/java/com/conveyal/r5/analyst/cluster/WorkerStatus.java b/src/main/java/com/conveyal/r5/analyst/cluster/WorkerStatus.java index 7ce2e115..f73a3c59 100644 --- a/src/main/java/com/conveyal/r5/analyst/cluster/WorkerStatus.java +++ b/src/main/java/com/conveyal/r5/analyst/cluster/WorkerStatus.java @@ -54,7 +54,7 @@ public class WorkerStatus { public WorkerStatus() { } /** Constructor that fills in all the fields with information about the machine it's running on. */ - public WorkerStatus (AnalystWorker worker) { + public WorkerStatus (AnalysisWorker worker) { workerName = "R5"; workerVersion = BackendVersion.instance.describe; diff --git a/src/main/java/com/conveyal/r5/analyst/decay/DecayFunction.java b/src/main/java/com/conveyal/r5/analyst/decay/DecayFunction.java new file mode 100644 index 00000000..c22f20db --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/decay/DecayFunction.java @@ -0,0 +1,90 @@ +package com.conveyal.r5.analyst.decay; + +import com.fasterxml.jackson.annotation.JsonSubTypes; +import com.fasterxml.jackson.annotation.JsonTypeInfo; + +/** + * A family of monotonically decreasing functions from travel times to weight factors in the range [0...1]. + * This determines how much an opportunity at a given travel time is weighted when included in an accessibility value. + * It has at least one parameter, the "cutoff" which is the midpoint of the decrease from one to zero. + * Some subclasses will have an additional parameter that essentially adjusts the width of the transition region. + * Like modifications, these are deserialized from JSON and then actually used in the computations. + * TODO redefine so that cutoff is supplied at construction, if precomputation is too slow? + */ +@JsonTypeInfo(use=JsonTypeInfo.Id.NAME, include=JsonTypeInfo.As.PROPERTY, property="type") +@JsonSubTypes({ + @JsonSubTypes.Type(name="step", value= StepDecayFunction.class), + @JsonSubTypes.Type(name="linear", value=LinearDecayFunction.class), + @JsonSubTypes.Type(name="logistic", value=LogisticDecayFunction.class), + @JsonSubTypes.Type(name="exponential", value=ExponentialDecayFunction.class), + @JsonSubTypes.Type(name="fixed-exponential", value=FixedExponentialDecayFunction.class) +}) +public abstract class DecayFunction { + + public static final int TWO_HOURS_IN_SECONDS = 2 * 60 * 60; + + public static final int FOUR_HOURS_IN_SECONDS = 4 * 60 * 60; + + protected static final double ZERO_EPSILON = 0.001; + + /** + * For a given cutoff, returns the minimum travel time at or beyond which this function will always return a zero + * weight, i.e. the point at which the decreasing weight curve has reached zero. Some functions approach zero + * asymptotically, so they will still return tiny fractional weights all the way out to two hours (or infinity). + * This can lead to a lot of unnecessary computation, causing us to search all the way out to 2 hours. It is + * advisable for decay function implemetations truncate the curve when the weight falls below some threshold, so we + * get a small finite travel time above which we can consider all opportunities unreachable. + * + * Contract: + * Input units: seconds + * Input range: [0...7200] + * Return units: seconds + * Return range: [0...7200] + * Idempotent, no side effects. + */ + public int reachesZeroAt (int cutoffSeconds) { + return findZeroPoint(cutoffSeconds); + } + + /** + * The DelayFunction subclasses should supply implementations of this method to return the weight factor for + * opportunities situated at a given travel time away from the origin, for a given cutoff parameter. + * + * Contract: + * Input units: seconds (for both inputs) + * Input range: [0...7200] + * Return units: opportunities + * Return range: [0...1] + * Idempotent, no side effects. + * Invariant: for any fixed cutoff, increasing travel time decreases output weight (monotonically decrteasing) + */ + public abstract double computeWeight (int cutoffSeconds, int travelTimeSeconds); + + /** + * Call this method on a deserialized DecayFunction to prepare it for use. + * It should validate any parameters supplied via JSON into instance fields. + * If a DecayFunction implementation has some more efficient way of generating values (e.g. precomputed tables) + * then it can also do any required precomputation in this method. + */ + public abstract void prepare (); + + /** + * For functions without a simple analytic solution, find the effective zero point by bisection. + * We require functions to reach zero at or above the cutoff point, but before four hours. + * Adapted from Python's bisect_right function. Quick benchmarks show effective search time is under one msec. + */ + private int findZeroPoint (int cutoffSeconds) { + int low = cutoffSeconds; + int high = 4 * 60 * 60; + while (low < high) { + int mid = (low + high) / 2; + double weight = computeWeight(cutoffSeconds, mid); + if (weight < ZERO_EPSILON) { + high = mid; + } else { + low = mid + 1; + } + } + return low; + } +} diff --git a/src/main/java/com/conveyal/r5/analyst/decay/ExponentialDecayFunction.java b/src/main/java/com/conveyal/r5/analyst/decay/ExponentialDecayFunction.java new file mode 100644 index 00000000..037eaffd --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/decay/ExponentialDecayFunction.java @@ -0,0 +1,32 @@ +package com.conveyal.r5.analyst.decay; + +import org.apache.commons.math3.util.FastMath; + +/** + * This an exponential decay function where the cutoff parameter c is treated as the half-life. + * So rather than working with the base e, we use: N(t) = 2^(-t/c) = 0.5^(t/c) + * Exp() is usually faster than the more general pow(). + * Since pow(x,y) = exp(y*log(x)) and we generally hold c constant while varying t: + * N(t) = exp(log(0.5) * t/c) + * JIT may be smart enough to factor the (log(0.5)/cutoff) out of the series of method calls, without us needing to + * create specific function instances with precomputed constants for each separate cutoff. + */ +public class ExponentialDecayFunction extends DecayFunction { + + private static final double logOneHalf = FastMath.log(0.5); + + @Override + public double computeWeight (int cutoffSeconds, int travelTimeSeconds) { + if (travelTimeSeconds <= 0) { + return 1; + } + if (travelTimeSeconds >= TWO_HOURS_IN_SECONDS) { + return 0; + } + return FastMath.exp(logOneHalf / cutoffSeconds * travelTimeSeconds); + } + + @Override + public void prepare () { } + +} diff --git a/src/main/java/com/conveyal/r5/analyst/decay/FixedExponentialDecayFunction.java b/src/main/java/com/conveyal/r5/analyst/decay/FixedExponentialDecayFunction.java new file mode 100644 index 00000000..5038da55 --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/decay/FixedExponentialDecayFunction.java @@ -0,0 +1,38 @@ +package com.conveyal.r5.analyst.decay; + +import com.google.common.base.Preconditions; +import org.apache.commons.math3.util.FastMath; + +/** + * This is equivalent to using the ExponentialDecayFunction with a cutoff (half-life) of log(0.5)/decayConstant. + * Cutoffs can only be a whole number of minutes. This class allows directly setting a precise externally determined + * constant, even if it does not correspond to an integer half-life. Note that this decay function will completely + * ignore the travel time cutoff, and results will not change from one cutoff to another. + */ +public class FixedExponentialDecayFunction extends DecayFunction { + + /** + * Note that this is a decay constant for travel times in seconds. + * If your decay constant is for travel times in minutes, you will need to divide it by 60. + * Values are expected to be negative to ensure decay (rather than growth). + */ + public double decayConstant; + + @Override + public double computeWeight (int cutoffSeconds, int travelTimeSeconds) { + if (travelTimeSeconds <= 0) { + return 1; + } + if (travelTimeSeconds >= TWO_HOURS_IN_SECONDS) { + return 0; + } + return FastMath.exp(decayConstant * travelTimeSeconds); + } + + @Override + public void prepare () { + Preconditions.checkArgument(decayConstant < 0); + Preconditions.checkArgument(decayConstant > -1); + } + +} diff --git a/src/main/java/com/conveyal/r5/analyst/decay/LinearDecayFunction.java b/src/main/java/com/conveyal/r5/analyst/decay/LinearDecayFunction.java new file mode 100644 index 00000000..8b4bf60e --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/decay/LinearDecayFunction.java @@ -0,0 +1,56 @@ +package com.conveyal.r5.analyst.decay; + +import static com.google.common.base.Preconditions.checkArgument; + +/** + * It's debatable whether the precomputation of a lookup table will speed up calculations. The tables get pretty big and + * calculation may be faster than memory churn. We should try to measure with and without that optimization. + */ +public class LinearDecayFunction extends DecayFunction { + + /** The public parameter. */ + public int widthMinutes; + + /** Derived from minutes, so known to be an even number of seconds. */ + private int widthSeconds; + + /** Width in seconds is known to be even, so can be split into integer halves. */ + private int halfWidthSeconds; + + /** The weights for all the seconds along the downward slope from 1 to 0. */ + private double[] weightTable; + + @Override + public int reachesZeroAt (int cutoffSeconds) { + return cutoffSeconds + halfWidthSeconds; + } + + @Override + public void prepare () { + // Validate + checkArgument(widthMinutes >= 0, "Linear decay width parameter must be non-negative."); + checkArgument(widthMinutes < 60, "Linear decay width parameter must be under one hour."); + // Precompute + widthSeconds = widthMinutes * 60; + halfWidthSeconds = widthSeconds / 2; + weightTable = new double[widthSeconds]; + for (int s = 0; s < widthSeconds; s++) { + // All opportunities at second s are on average halfway between s and s+1 due to int truncation. + weightTable[s] = 1 - ((s + 0.5) / widthSeconds); + } + } + + @Override + public double computeWeight (int cutoffSeconds, int travelTimeSeconds) { + int decayBegins = cutoffSeconds - halfWidthSeconds; + int tableIndex = travelTimeSeconds - decayBegins; + if (tableIndex < 0) { + return 1; + } else if (tableIndex < widthSeconds) { + return weightTable[tableIndex]; + } else { + return 0; + } + } + +} diff --git a/src/main/java/com/conveyal/r5/analyst/decay/LogisticDecayFunction.java b/src/main/java/com/conveyal/r5/analyst/decay/LogisticDecayFunction.java new file mode 100644 index 00000000..0e5e6f67 --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/decay/LogisticDecayFunction.java @@ -0,0 +1,40 @@ +package com.conveyal.r5.analyst.decay; + +import static com.google.common.base.Preconditions.checkArgument; +import static org.apache.commons.math3.util.FastMath.PI; +import static org.apache.commons.math3.util.FastMath.exp; +import static org.apache.commons.math3.util.FastMath.sqrt; + +/** + * The logistic cumulative distribution function, expressed such that parameters are the median (inflection + * point) and standard deviation. From Bauer and Groneberg equation 9. This applies a sigmoid rolloff. + * The parameters can be set to reflect the mean and standard deviation of travel times in the commuting population. + * Number crunching is typically much faster than memory access on modern machines, we should only implement a + * table-lookup optimization if we can show significant slowdown due to these on the fly calculations. + */ +public class LogisticDecayFunction extends DecayFunction { + + private static final double SQRT3 = sqrt(3); + + public double standardDeviationMinutes; + + private double standardDeviationSeconds; + + @Override + public void prepare () { + // Derive and validate paramters. + standardDeviationSeconds = standardDeviationMinutes * 60; + checkArgument(standardDeviationSeconds > 0, "Standard deviation must be positive."); + checkArgument(standardDeviationSeconds < TWO_HOURS_IN_SECONDS, "Standard deviation must be less than 2 hours."); + } + + @Override + public double computeWeight (int cutoffSeconds, int travelTimeSeconds) { + return g(cutoffSeconds, 0) / g(cutoffSeconds, travelTimeSeconds); + } + + private double g (int median, int travelTime) { + return 1 + exp(((travelTime - median) * PI) / (standardDeviationSeconds * SQRT3)); + } + +} diff --git a/src/main/java/com/conveyal/r5/analyst/decay/StepDecayFunction.java b/src/main/java/com/conveyal/r5/analyst/decay/StepDecayFunction.java new file mode 100644 index 00000000..e516f5d8 --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/decay/StepDecayFunction.java @@ -0,0 +1,27 @@ +package com.conveyal.r5.analyst.decay; + +/** + * Simple cliff-edge weight function. No parameters to set or validate. + */ +public class StepDecayFunction extends DecayFunction { + + @Override + public void prepare () { + // Nothing to validate or prepare. + } + + @Override + public int reachesZeroAt (int cutoffSeconds) { + return cutoffSeconds; + } + + @Override + public double computeWeight (int cutoffSeconds, int travelTimeSeconds) { + if (travelTimeSeconds < cutoffSeconds) { + return 1; + } else { + return 0; + } + } + +} diff --git a/src/main/java/com/conveyal/r5/analyst/fare/InRoutingFareCalculator.java b/src/main/java/com/conveyal/r5/analyst/fare/InRoutingFareCalculator.java index 6052417e..e9f44452 100644 --- a/src/main/java/com/conveyal/r5/analyst/fare/InRoutingFareCalculator.java +++ b/src/main/java/com/conveyal/r5/analyst/fare/InRoutingFareCalculator.java @@ -1,6 +1,7 @@ package com.conveyal.r5.analyst.fare; import com.conveyal.gtfs.model.Fare; +import com.conveyal.r5.analyst.fare.nyc.NYCInRoutingFareCalculator; import com.conveyal.r5.profile.FastRaptorWorker; import com.conveyal.r5.profile.McRaptorSuboptimalPathProfileRouter.McRaptorState; import com.conveyal.r5.profile.ProfileRequest; @@ -11,14 +12,14 @@ import java.io.Serializable; import java.util.Collection; import java.util.Map; +import java.util.function.ToIntFunction; /** - * A fare calculator used in Analyst searches. It must be "greedy," i.e. boarding another vehicle should always cost a - * nonnegative amount (0 is OK). The currency is not important as long as it is constant (i.e. the whole thing is in - * dollars, yen, bitcoin or kina. + * A fare calculator used in Analyst searches. The currency is not important as long as it is integer and constant + * (i.e. the whole thing is in cents, yen, bitcoin or kina). * - * Note that this fare calculator will be called on partial trips, both in the forward and (eventually) reverse directions. - * Adding another ride should be monotonic - the fare should either increase or stay the same. + * Fare calculator need not be greedy, see https://doi.org/10.1080/13658816.2019.1605075 and summary/open-access + * preprint at https://indicatrix.org/post/how-transit-fares-affect-accessibility/ */ @JsonTypeInfo(use=JsonTypeInfo.Id.NAME, include=JsonTypeInfo.As.PROPERTY, property="type") @JsonSubTypes({ @@ -26,7 +27,8 @@ @JsonSubTypes.Type(name = "bogota", value = BogotaInRoutingFareCalculator.class), @JsonSubTypes.Type(name = "chicago", value = ChicagoInRoutingFareCalculator.class), @JsonSubTypes.Type(name = "simple", value = SimpleInRoutingFareCalculator.class), - @JsonSubTypes.Type(name = "bogota-mixed", value = BogotaMixedInRoutingFareCalculator.class) + @JsonSubTypes.Type(name = "bogota-mixed", value = BogotaMixedInRoutingFareCalculator.class), + @JsonSubTypes.Type(name = "nyc", value = NYCInRoutingFareCalculator.class) }) public abstract class InRoutingFareCalculator implements Serializable { public static final long serialVersionUID = 0L; diff --git a/src/main/java/com/conveyal/r5/analyst/fare/ParetoServer.java b/src/main/java/com/conveyal/r5/analyst/fare/ParetoServer.java new file mode 100644 index 00000000..dca3b84c --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/fare/ParetoServer.java @@ -0,0 +1,289 @@ +package com.conveyal.r5.analyst.fare; + +import com.conveyal.analysis.BackendVersion; +import com.conveyal.r5.api.util.LegMode; +import com.conveyal.r5.common.GeometryUtils; +import com.conveyal.r5.common.JsonUtilities; +import com.conveyal.r5.profile.*; +import com.conveyal.r5.streets.StreetRouter; +import com.conveyal.r5.streets.VertexStore; +import com.conveyal.r5.transit.RouteInfo; +import com.conveyal.r5.transit.TransportNetwork; +import com.conveyal.r5.transit.TripPattern; +import gnu.trove.iterator.TIntObjectIterator; +import gnu.trove.map.TIntIntMap; +import org.locationtech.jts.geom.Coordinate; +import org.locationtech.jts.geom.CoordinateXY; +import org.locationtech.jts.geom.LineString; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; +import spark.Request; +import spark.Response; + +import java.io.IOException; +import java.time.LocalDate; +import java.time.LocalDateTime; +import java.time.format.DateTimeFormatter; +import java.util.*; +import java.util.function.IntFunction; + +import static spark.Spark.halt; + +/** + * Server for debug tool for fare analysis - to draw pareto surface and show combinations of travel time and fare. + */ +public class ParetoServer { + public TransportNetwork transportNetwork; + + private static final Logger LOG = LoggerFactory.getLogger(ParetoServer.class); + + public ParetoServer (TransportNetwork transportNetwork) { + this.transportNetwork = transportNetwork; + } + + public String handle (Request req, Response res) throws IOException { + ProfileRequest profileRequest = JsonUtilities.objectMapper.readValue(req.body(), ProfileRequest.class); + + if (profileRequest.inRoutingFareCalculator != null) profileRequest.inRoutingFareCalculator.transitLayer = this.transportNetwork.transitLayer; + + // now perform routing - always using McRaptor + LOG.info("Performing walk search for access (other access modes not supported)"); + Map accessTimes = accessEgressSearch(profileRequest.fromLat, profileRequest.fromLon, profileRequest); + LOG.info("Performing walk search for egress (other access modes not supported)"); + Map egressTimes = accessEgressSearch(profileRequest.toLat, profileRequest.toLon, profileRequest); + + LOG.info("Performing multiobjective transit routing"); + long startTime = System.currentTimeMillis(); + profileRequest.maxTripDurationMinutes = 120; // hack + IntFunction listSupplier = + (departureTime) -> new FareDominatingList( + profileRequest.inRoutingFareCalculator, + profileRequest.maxFare, + // while I appreciate the use of symbolic constants, I certainly hope the number of seconds per + // minute does not change + // in fact, we have been moving in the opposite direction with leap-second smearing + departureTime + profileRequest.maxTripDurationMinutes * FastRaptorWorker.SECONDS_PER_MINUTE); + McRaptorSuboptimalPathProfileRouter mcraptor = new McRaptorSuboptimalPathProfileRouter( + transportNetwork, + profileRequest, + accessTimes, + egressTimes, + listSupplier, + null, + true); // no collator - route will return states at destination + + mcraptor.route(); + long totalTime = System.currentTimeMillis() - startTime; + + List trips = new ArrayList<>(); + + for (TIntObjectIterator> it = + mcraptor.finalStatesByDepartureTime.iterator(); it.hasNext();) { + it.advance(); + + int departureTime = it.key(); + + for (McRaptorSuboptimalPathProfileRouter.McRaptorState state : it.value()) { + trips.add(new ParetoTrip(state, departureTime, transportNetwork)); + } + } + + ParetoReturn ret = new ParetoReturn(profileRequest, trips, totalTime); + + res.header("Content-Type", "application/json"); + + return JsonUtilities.objectMapper.writeValueAsString(ret); + } + + private Map accessEgressSearch (double fromLat, double fromLon, ProfileRequest profileRequest) { + LOG.info("Performing walk search for access (other access modes not supported)"); + StreetRouter sr = new StreetRouter(transportNetwork.streetLayer); + sr.profileRequest = profileRequest; + sr.timeLimitSeconds = 20 * 60; // hardwired at 20 mins + sr.quantityToMinimize = StreetRouter.State.RoutingVariable.DURATION_SECONDS; + + if (!sr.setOrigin(fromLat, fromLon)) { + halt(404, "Origin or destination not found"); + } + + sr.route(); + + TIntIntMap accessTimes = sr.getReachedStops(); // map from stop ID to access time + + if (accessTimes.size() == 0) halt(404, "No transit near origin!"); + + Map ret = new HashMap<>(); + ret.put(LegMode.WALK, accessTimes); + return ret; + } + + /** + * Many happy returns - class to encapsulate return value. + */ + public static final class ParetoReturn { + public final ProfileRequest request; + public final Collection trips; + public final long computeTimeMillis; + /** save backend version in JSON output - useful for JSON that's being pushed to fareto-examples */ + public BackendVersion backendVersion = BackendVersion.instance; + public String generationTime = LocalDateTime.now().format(DateTimeFormatter.ISO_DATE_TIME); + + public ParetoReturn(ProfileRequest request, Collection trips, long computeTimeMillis) { + this.request = request; + this.trips = trips; + this.computeTimeMillis = computeTimeMillis; + } + } + + public static final class ParetoTrip { + public final int durationSeconds; + public final int departureTime; + public final int fare; + public final List legs; + + public ParetoTrip (McRaptorSuboptimalPathProfileRouter.McRaptorState state, int departureTime, TransportNetwork network) { + this.departureTime = departureTime; + this.durationSeconds = state.time - departureTime; + this.fare = state.fare.cumulativeFarePaid; + + legs = new ArrayList<>(); + + while (state != null) { + if (state.stop != -1 && (state.pattern != -1 || state.back != null)) { + if (state.pattern == -1) { + int destStopIndex = state.stop; + int originStopIndex = state.back.stop; + + Coordinate originStopCoord = network.transitLayer.getCoordinateForStopFixed(originStopIndex); + Coordinate destStopCoord = network.transitLayer.getCoordinateForStopFixed(destStopIndex); + + int originTime = state.back.time; + int destTime = state.time; + + LineString geom = GeometryUtils.geometryFactory.createLineString(new Coordinate[] { + new Coordinate(originStopCoord.getX() / VertexStore.FIXED_FACTOR, originStopCoord.getY() / VertexStore.FIXED_FACTOR), + new Coordinate(destStopCoord.getX() / VertexStore.FIXED_FACTOR, destStopCoord.getY() / VertexStore.FIXED_FACTOR), + }); + + legs.add(new ParetoTransferLeg( + originStopCoord.getY() / VertexStore.FIXED_FACTOR, + originStopCoord.getX() / VertexStore.FIXED_FACTOR, + destStopCoord.getY() / VertexStore.FIXED_FACTOR, + destStopCoord.getX() / VertexStore.FIXED_FACTOR, + geom, + originTime, + destTime, + network.transitLayer.stopIdForIndex.get(originStopIndex), + network.transitLayer.stopNames.get(originStopIndex), + network.transitLayer.stopIdForIndex.get(destStopIndex), + network.transitLayer.stopNames.get(destStopIndex), + state.fare.cumulativeFarePaid, + state.fare.transferAllowance + )); + + } else { + TripPattern pattern = network.transitLayer.tripPatterns.get(state.pattern); + + int boardStopIndex = pattern.stops[state.boardStopPosition]; + int alightStopIndex = pattern.stops[state.alightStopPosition]; + + Coordinate boardStopCoord = network.transitLayer.getCoordinateForStopFixed(boardStopIndex); + Coordinate alightStopCoord = network.transitLayer.getCoordinateForStopFixed(alightStopIndex); + + List coords = new ArrayList<>(); + List hops = pattern.getHopGeometries(network.transitLayer); + for (int i = state.boardStopPosition; i < state.alightStopPosition; i++) { // hop i is from stop i to i + 1, don't include last stop index + LineString hop = hops.get(i); + for (Coordinate c : hop.getCoordinates()) + coords.add(c); + } + LineString shape = GeometryUtils.geometryFactory.createLineString(coords.toArray(new Coordinate[coords.size()])); + + legs.add(new ParetoTransitLeg(network.transitLayer.routes.get(pattern.routeIndex), + network.transitLayer.stopIdForIndex.get(boardStopIndex), network.transitLayer.stopNames.get(boardStopIndex), + network.transitLayer.stopIdForIndex.get(alightStopIndex), network.transitLayer.stopNames.get(alightStopIndex), + state.boardTime, state.time, state.fare.cumulativeFarePaid, + boardStopCoord.getY() / VertexStore.FIXED_FACTOR, + boardStopCoord.getX() / VertexStore.FIXED_FACTOR, + alightStopCoord.getY() / VertexStore.FIXED_FACTOR, + alightStopCoord.getX() / VertexStore.FIXED_FACTOR, shape, state.fare.transferAllowance)); + } + + + } + state = state.back; + } + + Collections.reverse(legs); + } + + } + + public static final class ParetoTransitLeg extends ParetoLeg { + public final RouteInfo route; + + public ParetoTransitLeg(RouteInfo route, String boardStopId, String boardStopName, String alightStopId, String alightStopName, + int boardTime, int alightTime, int cumulativeFare, double boardStopLat, double boardStopLon, + double alightStopLat, double alightStopLon, LineString geom, TransferAllowance transferAllowance) { + super(boardStopLat, boardStopLon, alightStopLat, alightStopLon, geom, boardTime, alightTime, + boardStopId, boardStopName, alightStopId, alightStopName, cumulativeFare, transferAllowance); + this.route = route; + } + + @Override public String getType() { + return "transit"; + } + } + + public static final class ParetoTransferLeg extends ParetoLeg { + public ParetoTransferLeg(double originLat, double originLon, double destLat, + double destLon, LineString geom, int originTime, int destTime, + String originStopId, String originStopName, String destStopId, String destStopName, + int cumulativeFare, TransferAllowance transferAllowance) { + super(originLat, originLon, destLat, destLon, geom, originTime, destTime, + originStopId, originStopName, destStopId, destStopName, cumulativeFare, + transferAllowance); + } + + @Override public String getType() { + return "transfer"; + } + } + + public static abstract class ParetoLeg { + public final double originLat; + public final double originLon; + public final double destLat; + public final double destLon; + public final LineString geom; + public final int originTime; + public final int destTime; + public final String originStopId; + public final String originStopName; + public final String destStopId; + public final String destStopName; + public final int cumulativeFare; + public final TransferAllowance transferAllowance; + + protected ParetoLeg(double originLat, double originLon, double destLat, double destLon, + LineString geom, int originTime, int destTime, String originStopId, + String originStopName, String destStopId, String destStopName, int cumulativeFare, + TransferAllowance transferAllowance) { + this.originLat = originLat; + this.originLon = originLon; + this.destLat = destLat; + this.destLon = destLon; + this.geom = geom; + this.originTime = originTime; + this.destTime = destTime; + this.originStopId = originStopId; + this.originStopName = originStopName; + this.destStopId = destStopId; + this.destStopName = destStopName; + this.cumulativeFare = cumulativeFare; + this.transferAllowance = transferAllowance; + } + + public abstract String getType(); + } +} diff --git a/src/main/java/com/conveyal/r5/analyst/fare/nyc/LIRRStop.java b/src/main/java/com/conveyal/r5/analyst/fare/nyc/LIRRStop.java new file mode 100644 index 00000000..3ec4a053 --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/fare/nyc/LIRRStop.java @@ -0,0 +1,130 @@ +package com.conveyal.r5.analyst.fare.nyc; + +/** + * All LIRR stops from the current GTFS (Dec 2019). Used to make efficient comparisons in LIRRTranferAllowance. + */ +public enum LIRRStop { + LIRR237, + LIRR241, + LIRR73, + LIRR74, + LIRR76, + LIRR77, + LIRR78, + LIRR83, + LIRR84, + LIRR85, + LIRR89, + LIRR90, + LIRR91, + LIRR92, + LIRR94, + LIRR99, + LIRR100, + LIRR101, + LIRR102, + LIRR107, + LIRR111, + LIRR113, + LIRR114, + LIRR117, + LIRR118, + LIRR119, + LIRR120, + LIRR122, + LIRR123, + LIRR124, + LIRR125, + LIRR126, + LIRR127, + LIRR129, + LIRR130, + LIRR131, + LIRR132, + LIRR135, + LIRR136, + LIRR140, + LIRR141, + LIRR142, + LIRR148, + LIRR149, + LIRR152, + LIRR153, + LIRR154, + LIRR155, + LIRR157, + LIRR162, + LIRR163, + LIRR164, + LIRR165, + LIRR171, + LIRR175, + LIRR176, + LIRR179, + LIRR180, + LIRR182, + LIRR183, + LIRR184, + LIRR185, + LIRR187, + LIRR190, + LIRR191, + LIRR193, + LIRR195, + LIRR198, + LIRR202, + LIRR204, + LIRR205, + LIRR211, + LIRR213, + LIRR214, + LIRR215, + LIRR216, + LIRR217, + LIRR219, + LIRR220, + LIRR223, + LIRR225, + LIRR226, + LIRR1, + LIRR2, + LIRR4, + LIRR8, + LIRR11, + LIRR13, + LIRR14, + LIRR16, + LIRR20, + LIRR21, + LIRR23, + LIRR25, + LIRR26, + LIRR27, + LIRR29, + LIRR31, + LIRR32, + LIRR33, + LIRR36, + LIRR38, + LIRR39, + LIRR40, + LIRR42, + LIRR44, + LIRR48, + LIRR50, + LIRR51, + LIRR52, + LIRR55, + LIRR56, + LIRR59, + LIRR63, + LIRR64, + LIRR65, + LIRR66, + LIRR67, + LIRR68, + LIRR71, + LIRR72, + LIRR233, + LIRR_ELMHURST +} diff --git a/src/main/java/com/conveyal/r5/analyst/fare/nyc/LIRRTransferAllowance.java b/src/main/java/com/conveyal/r5/analyst/fare/nyc/LIRRTransferAllowance.java new file mode 100644 index 00000000..ecfc0474 --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/fare/nyc/LIRRTransferAllowance.java @@ -0,0 +1,519 @@ +package com.conveyal.r5.analyst.fare.nyc; + +import com.conveyal.r5.analyst.fare.TransferAllowance; +import com.conveyal.r5.profile.McRaptorSuboptimalPathProfileRouter; +import com.csvreader.CsvReader; +import com.google.common.annotations.VisibleForTesting; +import com.google.common.collect.HashMultimap; +import com.google.common.collect.Lists; +import com.google.common.collect.Multimap; +import gnu.trove.iterator.TIntIterator; +import gnu.trove.iterator.TObjectIntIterator; +import gnu.trove.list.TIntList; +import gnu.trove.map.TIntIntMap; +import gnu.trove.map.TIntObjectMap; +import gnu.trove.map.TObjectDoubleMap; +import gnu.trove.map.TObjectIntMap; +import gnu.trove.map.hash.TIntIntHashMap; +import gnu.trove.map.hash.TIntObjectHashMap; +import gnu.trove.map.hash.TObjectDoubleHashMap; +import gnu.trove.map.hash.TObjectIntHashMap; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.io.IOException; +import java.io.InputStream; +import java.nio.charset.Charset; +import java.util.*; + +/** + * Calculates fares for and represents transfer allowances on the MTA Long Island Rail Road. One nice thing is that the LIRR is a small + * network, so we can be kinda lazy with how many journey prefixes get eliminated - we only consider journey prefixes + * comparable under the more strict domination rules (Theorem 3.2 in the paper at https://files.indicatrix.org/Conway-Stewart-2019-Charlie-Fare-Constraints.pdf) + * if they boarded at the same stop, alighted at the same stop, used the same stop to transfer from inbound to outbound + * (if there was an opposite-direction transfer), and used the same combination of peak/offpeak services. + * + * LIRR fares are really complicated, because of complex and undocumented transfer rules. The fare chart is available at + * http://web.mta.info/lirr/about/TicketInfo/Fares.htm, but it does not include anything about fares where you have to ride + * inbound and then outbound (for instance, based on the fare chart, Montauk to Greenport on the eastern end of Long + * Island are both in Zone 14, and thus should be a $3.25 fare, but to get between them, you have to ride at least to + * Bethpage (Zone 7). So there must be a more expensive fare, because otherwise anyone who was going from Montauk to Babylon, + * say, would just say they were planning to transfer and go back outbound. + * + * LIRR deals with this situation by specifying via fares. They have no documentation on these that I can find, so I + * scraped them from their fare calculator at lirr42.mta.info. For the Montauk to Greenport trip described above, for + * example, the fare calculator returns that a trip via Jamaica is 31.75 (offpeak), and a trip via Hicksville is 28.00 + * (offpeak). This is still ambiguous - what if you make a trip from Montauk to Greenport but change at Bethpage instead + * of Hicksville? We are assuming that in this case, you would be able to use the via fare for Hicksville. + * + * If there is a + * via fare for a station specified, we assume that it can also be used for any station closer to the origin/destination + * than the via station. We define closer as being that that station is reachable from the via station via only outbound + * trains in the common Inbound-Outbound transfer case, and reachable via only inbound trains in the rare Outbound-Inbound + * case. If there is no via fare specified, we use two one-way tickets. (The second ticket may be a via fare if there is + * another opposite direction transfer, for instance Hicksville to Oceanside via Babylon and Lynbrook, but otherwise we + * use via fares greedily. For an A-B-C-D trip, if there is a via fare from A to C via B, we will buy an ABC and a CD fare + * even if AB and BCD would be cheaper.) + * + * This is further complicated by the fact that there are other transfers that are not via transfers. For example, to + * travel from Atlantic Terminal to Ronkonkoma on LIRR train 2000, you must change at Jamaica. We thus assume that you + * can change between any two trains anywhere and as long as you continue to travel in the same direction, it is treated + * as a single ride for fare calculation purposes. + * + * @author mattwigway + */ +public class LIRRTransferAllowance extends TransferAllowance { + private static final Logger LOG = LoggerFactory.getLogger(LIRRTransferAllowance.class); + private static final TIntObjectMap peakDirectFares = new TIntObjectHashMap<>(); + private static final TIntObjectMap offpeakDirectFares = new TIntObjectHashMap<>(); + + /** Map from fromStop, toStop, viaStop to fare. Via is last because we allow trips with unmatched via stop to match to other via stop */ + private static final Map>> peakViaFares = new HashMap<>(); + private static final Map>> offpeakViaFares = new HashMap<>(); + + /** map from stop to fare zone */ + private static final TObjectIntMap fareZoneForStop = new TObjectIntHashMap<>(); + + private static int maxLirrFareTemp = 0; + + /** the maximum fare to travel anywhere in the LIRR system */ + public static final int MAX_LIRR_FARE; + + /** if a stop pair is present in this set, the second stop can be reached by only inbound trains from the first stop */ + @VisibleForTesting + static final Multimap inboundDownstreamStops = HashMultimap.create(); + + /** if a stop pair is present in this set, the second stop can be reached by only outbound trains from the first stop */ + @VisibleForTesting + static final Multimap outboundDownstreamStops = HashMultimap.create(); + + static { + loadDirectFares(); + loadViaFares(); + loadZones(); + loadDownstream(); + MAX_LIRR_FARE = maxLirrFareTemp; + } + + /** Fare for the LIRR so far on this journey */ + public final int cumulativeFare; + + /** The boarding stop of the most recently purchased LIRR ticket */ + public final LIRRStop boardStop; + + /** The transfer stop where the user changed direction */ + public final LIRRStop viaStop; + + /** Where the user alighted */ + public final LIRRStop alightStop; + + /** What direction the user started out traveling in */ + public final LIRRDirection initialDirection; + + /** Was a peak train ridden before any opposite-direction transfer */ + public final boolean peakBeforeDirectionChange; + + /** Was a peak train ridden after any opposite-direction transfer, always false if there was no direction change */ + public final boolean peakAfterDirectionChange; + + /** What time was the last LIRR ticket purchased? */ + public final int mostRecentTicketPurchaseTime; + + /** backreference so we can refer to scenario fare modifications */ + private final NYCInRoutingFareCalculator fareCalculator; + + /** + * Compute an LIRR fare. Currently assumes that if any journey in the sequence is a peak journey, the peak fare will + * be charged for the entire journey. It might be possible to get a cheaper fare by combining an off-peak and peak fare + * purchased separately, but I am assuming that people don't do this. Due to the separate consideration of peak and off-peak + * transfer allowances described above, this should not cause algorithmic difficulties. + * + * @param boardStops + * @param alightStops + * @param directions + * @param peak + */ + public LIRRTransferAllowance (List boardStops, List alightStops, List directions, + TIntList boardTimes, BitSet peak, NYCInRoutingFareCalculator fareCalculator) { + if (boardStops.size() == 0) { + throw new IllegalArgumentException("Empty LIRR stop list!"); + } + + this.fareCalculator = fareCalculator; + + // main fare calculation loop + int fareFromPreviousTickets = 0; // some complex LIRR journeys require multiple tickets + int cumulativeFareThisTicket = 0; + LIRRStop initialStop = boardStops.get(0); // source stop of current LIRR *ticket* + LIRRDirection initialDirection = directions.get(0); // source direction of current LIRR *ticket* + boolean thisTicketPeak = false; // has a peak train been used on this LIRR *ticket* + boolean thisDirectionPeak = false; // has a peak train been used in this direction on this ticket (used when there is no via fare, to get cumulative fares) + boolean lastDirectionPeak = false; + int nDirectionChanges = 0; + int timeAtInitialStop = boardTimes.get(0); + int timeAtViaStop = 0; + LIRRStop viaStop = null; // via stop of current LIRR *ticket* + + for (int i = 0; i < boardStops.size(); i++) { + LIRRStop boardStop = boardStops.get(i); + LIRRStop alightStop = alightStops.get(i); + LIRRDirection direction = directions.get(i); + + if (direction.equals(initialDirection) && nDirectionChanges == 0) { + // assuming you can change to another train in the same direction as if you never got off + thisDirectionPeak |= peak.get(i); + thisTicketPeak |= peak.get(i); + cumulativeFareThisTicket = getDirectFare(initialStop, alightStop, thisTicketPeak); + } else { + // this can only happen on the second or more ride of a ticket + if (!directions.get(i).equals(directions.get(i - 1))) { + // we changed direction since the last ride, not continuing a ride in opposite direction + nDirectionChanges++; + + if ((nDirectionChanges == 1) && (boardStop.equals(alightStops.get(i - 1)))) { + // we are on the second direction. continue with current ticket, unless we have left the system. + viaStop = boardStop; + timeAtViaStop = boardTimes.get(i); + lastDirectionPeak = thisDirectionPeak; + thisDirectionPeak = peak.get(i); + } else { + // time to buy a new ticket + fareFromPreviousTickets += cumulativeFareThisTicket; // left over from last iteration + thisTicketPeak = peak.get(i); + thisDirectionPeak = peak.get(i); + lastDirectionPeak = false; + initialStop = boardStop; + viaStop = null; + nDirectionChanges = 0; + initialDirection = direction; + timeAtInitialStop = boardTimes.get(i); + + // not += as this is just the fare for _this_ ticket, which is a new ticket + cumulativeFareThisTicket = getDirectFare(initialStop, alightStop, thisTicketPeak); + continue; // move to next ride + } + } + + // continue the second ride after changing direction + // couldn't set these until all changing direction was done + thisDirectionPeak |= peak.get(i); + thisTicketPeak |= peak.get(i); + + // continue ride in this direction + // try getting the via fare + if (viaStop == null) { + throw new NullPointerException("Via stop is null"); + } + + try { + cumulativeFareThisTicket = getViaFare(initialStop, alightStop, viaStop, lastDirectionPeak, + thisDirectionPeak, initialDirection); + } catch (NoMatchingViaFareException e) { + // buy a new ticket for the second part of this ride + // it is important to do this, rather than just calculate a quasi-via fare as the sum of the two + // non-via fares, so that you can get a discounted transfer on the second ticket. + // For instance, Hicksville to Oceanside by way of Babylon and Lynbrook might be cheapest using a + // one-way ticket from Hicksville to Babylon, then a via fare from Babylon to Oceanside via Lynbrook. + // While we generally assume greedy purchasing because otherwise the algorithm becomes really difficult, + // if the first ride requires a separate ticket, there's no reason to force no transfer after the second. + fareFromPreviousTickets += getDirectFare(initialStop, viaStop, lastDirectionPeak); + thisTicketPeak = thisDirectionPeak; + // thisDirectionPeak is unchanged + lastDirectionPeak = false; // reset + initialStop = viaStop; + viaStop = null; + nDirectionChanges = 0; + initialDirection = direction; + cumulativeFareThisTicket = getDirectFare(viaStop, alightStop, thisDirectionPeak); + timeAtInitialStop = timeAtViaStop; + } + } + } + + this.boardStop = initialStop; // for this ticket + this.viaStop = viaStop; + this.initialDirection = initialDirection; + this.alightStop = alightStops.get(alightStops.size() - 1); + this.peakBeforeDirectionChange = (viaStop == null ? thisDirectionPeak : lastDirectionPeak); + this.peakAfterDirectionChange = (viaStop == null ? false : thisDirectionPeak); // always set to false when there has been no direction change + this.cumulativeFare = fareFromPreviousTickets + cumulativeFareThisTicket; + this.mostRecentTicketPurchaseTime = timeAtInitialStop; + + if (this.cumulativeFare == 0) { + LOG.warn("Cumulative fare for LIRR is zero!"); + } + } + + /** Get a direct fare, with error handling */ + public int getDirectFare (LIRRStop fromStop, LIRRStop toStop, boolean peak) { + Map> overrides = + peak ? fareCalculator.lirrPeakDirectFareOverrides : fareCalculator.lirrOffPeakDirectFareOverrides; + + // first check for a manual override to the fare + if (overrides.containsKey(fromStop) && overrides.get(fromStop).containsKey(toStop)) { + return overrides.get(fromStop).get(toStop); + } + + // otherwise, compute a zonal fare + int fromZone = fareZoneForStop.get(fromStop); + int toZone = fareZoneForStop.get(toStop); + int fare = (peak ? peakDirectFares : offpeakDirectFares).get(fromZone).get(toZone); + + if (fare == 0) throw new IllegalArgumentException("fare zones not found!"); + + return fare; + } + + /** Get fare for a trip that changed from inbound to outbound or vice versa */ + public int getViaFare (LIRRStop fromStop, LIRRStop toStop, LIRRStop viaStop, boolean lastDirectionPeak, + boolean thisDirectionPeak, LIRRDirection initialDirection) throws NoMatchingViaFareException { + Map>> stockViaFares = + (lastDirectionPeak || thisDirectionPeak) ? peakViaFares : offpeakViaFares; + + Map>> overrideFares = + (lastDirectionPeak || thisDirectionPeak) ? fareCalculator.lirrPeakViaFareOverrides : fareCalculator.lirrOffPeakViaFareOverrides; + + int twoTicketFare = getDirectFare(fromStop, viaStop, lastDirectionPeak) + + getDirectFare(viaStop, toStop, thisDirectionPeak); + + boolean found = false; + int viaFare = 0; + + // The full loop is run twice, once with override fares, and once with stock fares. + // The reason to do this is that we want to find _any_ matching fare from fare overrides, even if via stop + // does not match exactly, before we resort to stock fares. So if you override fares from Jamaica to Port Washington + // via Penn Station, that fare should also apply to Jamaica to Port Washington via Woodside, unless a cheaper + // fare can be found that still applies. + for (Map>> viaFares : Lists + .newArrayList(overrideFares, stockViaFares)) { + if (viaFares.containsKey(fromStop) && viaFares.get(fromStop).containsKey(toStop)) { + TObjectIntMap viaFaresForOriginDestination = viaFares.get(fromStop).get(toStop); + + if (viaFaresForOriginDestination.containsKey(viaStop)) { + // ah, good, there is a fare for exactly this ride + viaFare = viaFaresForOriginDestination.get(viaStop); + found = true; + } else { + // allow via fares to be used even when not transferring at specific locations. Use the cheapest via + // fare that transfers at a stop "upstream" of the stop. + viaFare = Integer.MAX_VALUE; + + for (TObjectIntIterator fareIterator = viaFaresForOriginDestination + .iterator(); fareIterator.hasNext(); ) { + fareIterator.advance(); + + LIRRStop fareViaStop = fareIterator.key(); + + Multimap downstreamStops; + if (initialDirection == LIRRDirection.INBOUND) { + // not backwards - we can apply the via fare for transfers at any stop that is "outbound of" + // the specified via stop, when we started inbound. + downstreamStops = outboundDownstreamStops; + } else if (initialDirection == LIRRDirection.OUTBOUND) { + downstreamStops = inboundDownstreamStops; + } else { + throw new IllegalArgumentException("Impossible direction for LIRR"); + } + + if (downstreamStops.containsEntry(fareViaStop, viaStop)) { + // this via fare can be applies to this viaStop, get cheapest + viaFare = Math.min(fareIterator.value(), viaFare); + found = true; + } + } + } + } + + if (found) break; // don't fall through to stock fares if we found the stop in the override fares + } + + if (!found) throw new NoMatchingViaFareException(); + + if (twoTicketFare < viaFare) { + LOG.warn("Travel from {} to {} via {} is cheaper by buying two tickets than using via fare", + fromStop, toStop, viaStop); + throw new NoMatchingViaFareException(); // force new ticket purchase + } + + if (viaFare == 0) { + throw new InternalError("LIRR via fare is zero!"); // sanity check, should not be possible + } + + return viaFare; + } + + /** + * Does this provide as good as or better than transfers to all future services? + * Rather than actually figure this out, just treat only LIRR tickets that boarded at the same place, transferred at the same place, + * alighted at the same place started in the same direction, used the same combo of peak and off-peak services as comparable. + * Since the LIRR is a small network, and we clear LIRR transfers as soon as you leave the LIRR system, this should be tractable. + * @param otherAllowance + * @return + */ + @Override + public boolean atLeastAsGoodForAllFutureRedemptions (TransferAllowance otherAllowance) { + LIRRTransferAllowance other = (LIRRTransferAllowance) otherAllowance; + // it could be preferable to not have an LIRR transfer allowance, see note about Metro-North in NYCTransferAllowance. + if (other == null) return false; + else return (boardStop.equals(other.boardStop)) && + (viaStop == other.viaStop) && // okay to use == on enum constants, and neatly handles nulls + (initialDirection.equals(other.initialDirection)) && + (peakBeforeDirectionChange == other.peakBeforeDirectionChange) && + (peakAfterDirectionChange == other.peakAfterDirectionChange); + // no need to compare cumulative fare here, that's done separately -- and in fact we wouldn't want to + // b/c it might throw out an LIRR journey in favor of a more expensive overall journey that doesn't use the LIRR as much. + } + + /** + * Again, producing a weak upper bound for simplicity, and given the small size of the LIRR network it should be + * tractable. We know the max transfer allowance can't be any more than if you were to just buy the most expensive new ticket. + * Since we clear LIRR transfer allowances as soon as you egress from an LIRR station, this should not cause tractability issues. + * NB we are no longer using maximum transfer allowances in the algorithm. + */ + + public int getMaxTransferAllowance () { + return MAX_LIRR_FARE; + } + + + /** + * Load LIRR fare information from classpath. + */ + private static void loadDirectFares () { + InputStream is = null; + try { + is = LIRRTransferAllowance.class.getClassLoader().getResourceAsStream("fares/nyc/lirr/lirr_zonal_fares.csv"); + CsvReader rdr = new CsvReader(is, ',', Charset.forName("UTF-8")); + rdr.readHeaders(); + while (rdr.readRecord()) { + int fromZone = Integer.parseInt(rdr.get("from_zone")); + int toZone = Integer.parseInt(rdr.get("to_zone")); + int fare = Integer.parseInt(rdr.get("amount")); + maxLirrFareTemp = Math.max(maxLirrFareTemp, fare); + if (rdr.get("peak").equals("True")) { + if (!peakDirectFares.containsKey(fromZone)) peakDirectFares.put(fromZone, new TIntIntHashMap()); + peakDirectFares.get(fromZone).put(toZone, fare); + } else { + if (!offpeakDirectFares.containsKey(fromZone)) offpeakDirectFares.put(fromZone, new TIntIntHashMap()); + offpeakDirectFares.get(fromZone).put(toZone, fare); + } + } + } catch (IOException e) { + LOG.error("IO Exception reading LIRR Direct Fares CSV", e); + } finally { + try { + is.close(); + } catch (IOException e) { + LOG.error("IO Exception closing LIRR Direct Fares CSV", e); + } + } + } + + private static void loadViaFares () { + InputStream is = null; + try { + is = LIRRTransferAllowance.class.getClassLoader().getResourceAsStream("fares/nyc/lirr/via_fares.csv"); + CsvReader rdr = new CsvReader(is, ',', Charset.forName("UTF-8")); + rdr.readHeaders(); + while (rdr.readRecord()) { + LIRRStop fromStop = LIRRStop.valueOf(rdr.get("from_stop_id").toUpperCase(Locale.US)); + LIRRStop toStop = LIRRStop.valueOf(rdr.get("to_stop_id").toUpperCase(Locale.US)); + LIRRStop viaStop = LIRRStop.valueOf(rdr.get("via_stop_id").toUpperCase(Locale.US)); + + int fare = Integer.parseInt(rdr.get("amount")); + maxLirrFareTemp = Math.max(maxLirrFareTemp, fare); + + if (rdr.get("peak").equals("True")) { + peakViaFares.computeIfAbsent(fromStop, k -> new HashMap<>()).computeIfAbsent(toStop, k -> new TObjectIntHashMap<>()).put(viaStop, fare); + } else { + offpeakViaFares.computeIfAbsent(fromStop, k -> new HashMap<>()).computeIfAbsent(toStop, k -> new TObjectIntHashMap<>()).put(viaStop, fare); + } + } + } catch (IOException e) { + LOG.error("IO Exception reading LIRR Via Fares CSV", e); + } finally { + try { + is.close(); + } catch (IOException e) { + LOG.error("IO Exception closing LIRR Via Fares CSV", e); + } + } + } + + /** Create the stop to fare zone mapping */ + private static void loadZones () { + InputStream is = null; + try { + is = LIRRTransferAllowance.class.getClassLoader().getResourceAsStream("fares/nyc/lirr/lirr_stops_fare_zones.csv"); + CsvReader rdr = new CsvReader(is, ',', Charset.forName("UTF-8")); + rdr.readHeaders(); + while (rdr.readRecord()) { + String stopId = rdr.get("stop_id").toUpperCase(Locale.US); + LIRRStop stop = null; + try { + stop = LIRRStop.valueOf(stopId); + } catch (IllegalArgumentException e) { + LOG.warn("LIRR stop {} from fare zones CSV not found (possibly a holiday-only stop)", stopId); + } + int fareZone = Integer.parseInt(rdr.get("fare_area")); + fareZoneForStop.put(stop, fareZone); + } + } catch (IOException e) { + LOG.error("IO Exception reading LIRR Via Fares CSV", e); + } finally { + try { + is.close(); + } catch (IOException e) { + LOG.error("IO Exception closing LIRR Via Fares CSV", e); + } + } + } + + private static void loadDownstream () { + InputStream is = null; + try { + is = LIRRTransferAllowance.class.getClassLoader().getResourceAsStream("fares/nyc/lirr/descendants.csv"); + CsvReader rdr = new CsvReader(is, ',', Charset.forName("UTF-8")); + rdr.readHeaders(); + while (rdr.readRecord()) { + LIRRStop fromStop = LIRRStop.valueOf(rdr.get("stop_id").toUpperCase(Locale.US)); + for (int i = 1; i < rdr.getHeaderCount(); i++) { + LIRRStop toStop = LIRRStop.valueOf(rdr.getHeader(i).toUpperCase(Locale.US)); + String val = rdr.get(i); + if (val.equals("I")) { + inboundDownstreamStops.put(fromStop, toStop); + } else if (val.equals("O")) { + outboundDownstreamStops.put(fromStop, toStop); + } + } + } + } catch (IOException e) { + LOG.error("IO Exception reading LIRR Direct Fares CSV", e); + } finally { + try { + is.close(); + } catch (IOException e) { + LOG.error("IO Exception closing LIRR Direct Fares CSV", e); + } + } + } + + private static final class NoMatchingViaFareException extends Exception { + + } + + public static enum LIRRDirection { + OUTBOUND, INBOUND; + + public static LIRRDirection forGtfsDirection (int dir) { + switch (dir) { + case 0: + return OUTBOUND; + case 1: + return INBOUND; + default: + throw new IllegalArgumentException("Direction must be 0/1"); + } + } + } +} diff --git a/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCFareDataCache.java b/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCFareDataCache.java new file mode 100644 index 00000000..19c4cc43 --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCFareDataCache.java @@ -0,0 +1,217 @@ +package com.conveyal.r5.analyst.fare.nyc; + +import com.conveyal.r5.transit.TransitLayer; +import com.conveyal.r5.transit.TripPattern; +import gnu.trove.iterator.TObjectIntIterator; +import gnu.trove.map.TIntIntMap; +import gnu.trove.map.TIntObjectMap; +import gnu.trove.map.TObjectIntMap; +import gnu.trove.map.hash.TIntIntHashMap; +import gnu.trove.map.hash.TIntObjectHashMap; +import gnu.trove.map.hash.TObjectIntHashMap; +import gnu.trove.set.TIntSet; +import gnu.trove.set.hash.TIntHashSet; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.Locale; + +/** An NYCFareDataCache contains fare data specific to NYC, for a specific transitlayer */ +public final class NYCFareDataCache { + private static final Logger LOG = LoggerFactory.getLogger(NYCFareDataCache.class); + + public final TIntObjectMap lirrStopForTransitLayerStop = new TIntObjectHashMap<>(); + public final TObjectIntMap transitLayerStopForMnrStop = new TObjectIntHashMap<>(); + public final TIntSet peakLirrPatterns = new TIntHashSet(); + public final TIntSet allLirrPatterns = new TIntHashSet(); + public NYCPatternType[] patternTypeForPattern; + /** St George and Tompkinsville stops where fare is paid on Staten Island Rwy */ + public final TIntSet statenIslandRwyFareStops = new TIntHashSet(); + + /** Similar to SIR, Howard Beach and Jamaica stations charge a fare for entering or exiting JFK Airtrain */ + public final TIntSet airtrainJfkFareStops = new TIntHashSet(); + + /** map from stop indices to (interned) fare areas for use in calculating free subway transfers */ + public final TIntObjectMap fareAreaForStop = new TIntObjectHashMap<>(); + + /** Metro-North peak fares, map from from stop -> to stop -> fare */ + public final TIntObjectMap mnrPeakFares = new TIntObjectHashMap<>(); + + /** Metro-North peak fares, map from from stop -> to stop -> fare */ + public final TIntObjectMap mnrOffpeakFares = new TIntObjectHashMap<>(); + + /** Since there are no free transfers betwen lines on Metro-North, keep track of which line + * we're on. + */ + public final TIntObjectMap mnrLineForPattern = new TIntObjectHashMap<>(); + + + public NYCFareDataCache(TransitLayer transitLayer) { + patternTypeForPattern = new NYCPatternType[transitLayer.tripPatterns.size()]; + + for (int i = 0; i < transitLayer.stopIdForIndex.size(); i++) { + // slow but only happens during initialization + String prefixedStopId = transitLayer.stopIdForIndex.get(i); + if (prefixedStopId != null) { // can be null if stop is added by scenario + String stopId = prefixedStopId.split(":", 2)[1]; // get rid of feed id + if (stopId.startsWith("lirr")) { + lirrStopForTransitLayerStop.put(i, LIRRStop.valueOf(stopId.toUpperCase(Locale.US))); + } else if (NYCStaticFareData.subwayTransfers.containsKey(stopId)) { + fareAreaForStop.put(i, NYCStaticFareData.subwayTransfers.get(stopId)); + } else if (stopId.startsWith("mnr")) { + transitLayerStopForMnrStop.put(stopId.substring(4), i); // get rid of mnr_ prefix + } else if (NYCStaticFareData.statenIslandRwyFareStops.contains(stopId)) { + statenIslandRwyFareStops.add(i); + } else if (NYCStaticFareData.airtrainJfkFareStops.contains(stopId)) { + airtrainJfkFareStops.add(i); + } + } else { + LOG.warn("Stop {} has no stop ID. If this is a stop from a modification, this is harmless; otherwise, you should look into it.", i); + } + } + + if (airtrainJfkFareStops.size() != 2) { + throw new IllegalStateException("Did not find two AirTrain JFK fare stops! (data version mismatch?)"); + } + + // six because one for each platform and one parent at Tottenville and St George + if (statenIslandRwyFareStops.size() != 6) { + throw new IllegalStateException("Did not find six Staten Island Rwy fare stops! (data version mismatch?)"); + } + + for (int i = 0; i < transitLayer.tripPatterns.size(); i++) { + TripPattern pat = transitLayer.tripPatterns.get(i); + + // routeId is feed-scoped (feedId:routeId) for routes in the baseline GTFS, and not feed scoped (just + // a UUID routeId) for routes added by modification. + String [] patternRouteId = pat.routeId.split(":", 2); + String routeId = patternRouteId.length > 1 ? patternRouteId[1] : patternRouteId[0]; + + int routeType = transitLayer.routes.get(pat.routeIndex).route_type; + if (routeId.startsWith("lirr")) { + allLirrPatterns.add(i); + if (!pat.routeId.endsWith("offpeak")) { + peakLirrPatterns.add(i); + patternTypeForPattern[i] = NYCPatternType.LIRR_PEAK; + } else { + patternTypeForPattern[i] = NYCPatternType.LIRR_OFFPEAK; + } + } else if (routeId.startsWith("mnr")) { + if (routeId.endsWith("offpeak")) patternTypeForPattern[i] = NYCPatternType.METRO_NORTH_OFFPEAK; + else patternTypeForPattern[i] = NYCPatternType.METRO_NORTH_PEAK; + + // figure out what line it's on + String routeLongName = transitLayer.routes.get(pat.routeIndex).route_long_name; + + if (routeLongName.equals("Harlem")) mnrLineForPattern.put(i, NYCInRoutingFareCalculator.MetroNorthLine.HARLEM); + else if (routeLongName.equals("Hudson")) mnrLineForPattern.put(i, NYCInRoutingFareCalculator.MetroNorthLine.HUDSON); + // New Haven line has many branches + else if (routeLongName.equals("New Haven") || routeLongName.equals("New Canaan") || + routeLongName.equals("Waterbury") || routeLongName.equals("Danbury") || + routeLongName.equals("MNR Shore Line East")) mnrLineForPattern.put(i, NYCInRoutingFareCalculator.MetroNorthLine.NEW_HAVEN); + else throw new IllegalStateException("Unrecognized Metro-North route_long_name " + routeLongName); + } else if (routeId.startsWith("bus")) { + // Figure out if it's a local bus or an express bus + String[] split = routeId.split("_"); + String rawRouteId = split[split.length - 1]; // the original GTFS route ID + if (NYCStaticFareData.expressBusRoutes.contains(rawRouteId)) { + patternTypeForPattern[i] = NYCPatternType.METROCARD_EXPRESS_BUS; + } else { + patternTypeForPattern[i] = NYCPatternType.METROCARD_LOCAL_BUS; + } + } else if (routeId.startsWith("nyct_subway")) { + // Figure out if it's the Staten Island Railway + if (routeId.equals("nyct_subway_SI")) patternTypeForPattern[i] = NYCPatternType.STATEN_ISLAND_RWY; + else patternTypeForPattern[i] = NYCPatternType.METROCARD_SUBWAY; + } else if (routeId.startsWith("si-ferry")) { + patternTypeForPattern[i] = NYCPatternType.STATEN_ISLAND_FERRY; + } else if (routeId.startsWith("ferry")) { + // NYC Ferry + if (routeType == 4) patternTypeForPattern[i] = NYCPatternType.NYC_FERRY; // boat + else if (routeType == 3) patternTypeForPattern[i] = NYCPatternType.NYC_FERRY_BUS; // free shuttle bus + else throw new IllegalArgumentException("unexpected route type in NYC Ferry feed"); + } else if (routeId.startsWith("westchester")) { + String routeShortName = transitLayer.routes.get(pat.routeIndex).route_short_name; + if (routeShortName.equals("BxM4C")) patternTypeForPattern[i] = NYCPatternType.WESTCHESTER_BXM4C; + else patternTypeForPattern[i] = NYCPatternType.METROCARD_LOCAL_BUS; // same fare rules as MTA local bus + } else if (routeId.startsWith("nice")) { + patternTypeForPattern[i] = NYCPatternType.METROCARD_NICE; + } else if (routeId.startsWith("suffolk")) { + patternTypeForPattern[i] = NYCPatternType.SUFFOLK; + } else if (routeId.startsWith("airtrain")) { + patternTypeForPattern[i] = NYCPatternType.AIRTRAIN_JFK; + } + + // HACK FOR SCENARIO APPLICATION + // If mode is Gondola, assume RI Tram which has MetroCard Local Bus fares + // If mode is Cable Car, LIRR Offpeak. If mode is funicular, LIRR Peak (pun intended) + // Note that the conditions below can only be called if nothing matches above + else if (routeType == 6) patternTypeForPattern[i] = NYCPatternType.METROCARD_LOCAL_BUS; + else if (routeType == 5) { + patternTypeForPattern[i] = NYCPatternType.LIRR_OFFPEAK; + allLirrPatterns.add(i); + } + else if (routeType == 7) { + patternTypeForPattern[i] = NYCPatternType.LIRR_PEAK; + peakLirrPatterns.add(i); + allLirrPatterns.add(i); + } + + if (patternTypeForPattern[i] == null){ + throw new IllegalStateException("No pattern type assigned for pattern on route " + routeId); + } + } + + // construct MNR fare tables + NYCStaticFareData.mnrPeakFares.forEach((fromStop, toStops) -> { + int fromTransitLayerStop = transitLayerStopForMnrStop.get(fromStop); + TIntIntMap toTransitLayerStops = new TIntIntHashMap(); + toStops.forEachEntry((toStop, fare) -> { + int toTransitLayerStop = transitLayerStopForMnrStop.get(toStop); + toTransitLayerStops.put(toTransitLayerStop, fare); + return true; // continue iteration + }); + mnrPeakFares.put(fromTransitLayerStop, toTransitLayerStops); + }); + + NYCStaticFareData.mnrOffpeakFares.forEach((fromStop, toStops) -> { + int fromTransitLayerStop = transitLayerStopForMnrStop.get(fromStop); + TIntIntMap toTransitLayerStops = new TIntIntHashMap(); + toStops.forEachEntry((toStop, fare) -> { + int toTransitLayerStop = transitLayerStopForMnrStop.get(toStop); + toTransitLayerStops.put(toTransitLayerStop, fare); + return true; // continue iteration + }); + mnrOffpeakFares.put(fromTransitLayerStop, toTransitLayerStops); + }); + + + // print stats + TObjectIntMap hist = new TObjectIntHashMap<>(); + for (NYCPatternType type : NYCPatternType + .values()) hist.put(type, 0); + for (int i = 0; i < patternTypeForPattern.length; i++) { + NYCPatternType type = patternTypeForPattern[i]; + if (type == null) { + TripPattern pat = transitLayer.tripPatterns.get(i); + throw new NullPointerException("Pattern type is null for pattern on route " + pat.routeId); + } else { + hist.increment(type); + } + } + LOG.info("NYC fare pattern types:"); + for (TObjectIntIterator it = hist.iterator(); it.hasNext();) { + it.advance(); + LOG.info(" {}: {}", it.key(), it.value()); + } + } + + public int getMetroNorthFare (int fromStop, int toStop, boolean peak) { + TIntObjectMap fares = (peak ? mnrPeakFares : mnrOffpeakFares); + if (!fares.containsKey(fromStop) || !fares.get(fromStop).containsKey(toStop)) { + throw new IllegalArgumentException("Could not find Metro-North fare!"); + } + + return fares.get(fromStop).get(toStop); + } +} diff --git a/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCInRoutingFareCalculator.java b/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCInRoutingFareCalculator.java new file mode 100644 index 00000000..b68399e5 --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCInRoutingFareCalculator.java @@ -0,0 +1,890 @@ +package com.conveyal.r5.analyst.fare.nyc; + +import com.conveyal.r5.analyst.fare.FareBounds; +import com.conveyal.r5.analyst.fare.InRoutingFareCalculator; +import com.conveyal.r5.profile.McRaptorSuboptimalPathProfileRouter; +import com.conveyal.r5.transit.TransitLayer; +import gnu.trove.list.TIntList; +import gnu.trove.list.array.TIntArrayList; +import gnu.trove.map.TIntIntMap; +import gnu.trove.map.TIntObjectMap; +import gnu.trove.map.TObjectIntMap; +import gnu.trove.map.hash.TIntIntHashMap; +import gnu.trove.map.hash.TIntObjectHashMap; +import gnu.trove.map.hash.TObjectIntHashMap; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.*; + +/** + * An in-routing fare calculator for East-of-Hudson services in the NYC area, used for a specific project with + * customized inputs. See note in NYCStaticFareData. + * + * @author mattwigway + */ + +public class NYCInRoutingFareCalculator extends InRoutingFareCalculator { + private static final Logger LOG = LoggerFactory.getLogger(NYCInRoutingFareCalculator.class); + + /** + * weak hash map from transit layer to cached NYC-specific fare data about that transit layer, + * weak so that it doesn't prevent GC of no longer used transport networks (though this is largely hypothetical, + * as Analysis workers never load more than a single transport network. + */ + private static final Map fareDataForTransitLayer = new WeakHashMap<>(); + + /** Map from NYCPatternType -> Integer for how much discount off the LIRR is implied by each MetroCard Transfer Source */ + public Map toLirrDiscounts = null; + + /** Map from NYCPatternType -> Integer for how much discount off the MNR is implied by each MetroCard Transfer Source */ + public Map toMetroNorthDiscounts = null; + + /** + * What type of MetroCard Transfer Allowance does riding the LIRR get you? + * This is used in scenarios, we can make a full-fare LIRR ride give you the same transfer allowance + * as some other type of ride that is already implemented, e.g. NICE_ONE_TRANSFER for a single free + * transfer to NICE, or METROCARD_LOCAL_BUS for free transfers to most services and an upgrade to the express bus. + * No LIRR MetroCard Transfer Allowance is granted if a discounted transfer was used to board the LIRR. + */ + public NYCPatternType lirrMetrocardTransferSource = null; + + /** Similar, for the MNR */ + public NYCPatternType metroNorthMetrocardTransferSource = null; + + /** Override certain fares for the LIRR */ + public List lirrFareOverrides = null; + + /** Override certain fares for the MNR */ + public List metroNorthFareOverrides = null; + + /** Map from stop -> stop -> fare for fare overrides coming from JSON, for Metro-North peak fares */ + private TIntObjectMap mnrPeakFareOverrides = null; + + /** Map from stop -> stop -> fare for fare overrides coming from JSON, for Metro-North offpeak fares */ + private TIntObjectMap mnrOffPeakFareOverrides = null; + + // LIRR ones package-private so they can be accessed from LIRRTransferAllowance + /** Map from stop -> stop -> fare for fare overrides coming from JSON, for LIRR peak direct fares */ + Map> lirrPeakDirectFareOverrides = null; + + /** Map from stop -> stop -> fare for fare overrides coming from JSON, for LIRR offpeak direct fares */ + Map> lirrOffPeakDirectFareOverrides = null; + + /** Map for from stop -> to stop -> via stop -> fare for LIRR peak via fare overrides coming from JSON */ + Map>> lirrPeakViaFareOverrides = null; + + /** Map for from stop -> to stop -> via stop -> fare for LIRR offpeak via fare overrides coming from JSON */ + Map>> lirrOffPeakViaFareOverrides = null; + + /** Create the cached fare data iff there is a cache mix, otherwise just return it */ + private NYCFareDataCache getOrCreateFareData () { + if (!fareDataForTransitLayer.containsKey(transitLayer)) { + synchronized (fareDataForTransitLayer) { + if (!fareDataForTransitLayer.containsKey(transitLayer)) { + LOG.info("Initializing NYC InRoutingFareCalculator"); + NYCFareDataCache fareData = new NYCFareDataCache(this.transitLayer); + fareDataForTransitLayer.put(transitLayer, fareData); + } + } + } + + return fareDataForTransitLayer.get(transitLayer); + } + + /** Initialize the fare overrides for direct trips on Metro-North */ + private TIntObjectMap initializeMnrDirectFareOverrides (List fareOverrides, boolean peak) { + TIntObjectMap fares = new TIntObjectHashMap<>(); + if (fareOverrides != null) { + for (FareOverride fo : fareOverrides) { + // find the stops in the transit layer + if (fo.viaStopId != null) + throw new IllegalArgumentException("MNR override fare cannot have via stop!"); + + if (!transitLayer.indexForStopId.containsKey(fo.fromStopId) || + !transitLayer.indexForStopId.containsKey(fo.toStopId)) { + throw new IllegalArgumentException("from or to stop not found!"); + } + + int fromStop = transitLayer.indexForStopId.get(fo.fromStopId); + int toStop = transitLayer.indexForStopId.get(fo.toStopId); + int fare = peak ? fo.peakFare : fo.offPeakFare; + if (!fares.containsKey(fromStop)) + fares.put(fromStop, new TIntIntHashMap()); + fares.get(fromStop).put(toStop, fare); + } + } + return fares; + } + + /** + * Initialize the fare overrides for direct trips on the LIRR. Can't re-use Metro-North code b/c it used int stop IDs and LIRR fare calculation uses enums + */ + private Map> initializeLirrDirectFareOverrides (List fareOverrides, boolean peak, NYCFareDataCache fareData) { + Map> fares = new HashMap<>(); + if (fareOverrides != null) { + for (FareOverride fo : fareOverrides) { + if (fo.viaStopId != null) continue; + + if (!transitLayer.indexForStopId.containsKey(fo.fromStopId) || + !transitLayer.indexForStopId.containsKey(fo.toStopId)) { + throw new IllegalArgumentException("from or to stop not found!"); + } + + int fromStop = transitLayer.indexForStopId.get(fo.fromStopId); + int toStop = transitLayer.indexForStopId.get(fo.toStopId); + int fare = peak ? fo.peakFare : fo.offPeakFare; + LIRRStop fromLirrStop = fareData.lirrStopForTransitLayerStop.get(fromStop); + LIRRStop toLirrStop = fareData.lirrStopForTransitLayerStop.get(toStop); + + fares.computeIfAbsent(fromLirrStop, k -> new TObjectIntHashMap<>()).put(toLirrStop, fare); + } + } + return fares; + } + + /** Initialize the fare overrides for via trips on the LIRR - returns a map keyed as from -> to -> via -> fare */ + private Map>> initializeLirrViaFareOverrides (List fareOverrides, boolean peak, NYCFareDataCache fareData) { + Map>> fares = new HashMap<>(); + if (fareOverrides != null) { + for (FareOverride fo : fareOverrides) { + if (fo.viaStopId == null) continue; + + if (!transitLayer.indexForStopId.containsKey(fo.fromStopId) || + !transitLayer.indexForStopId.containsKey(fo.toStopId) || + !transitLayer.indexForStopId.containsKey(fo.viaStopId)) { + throw new IllegalArgumentException("from or to stop not found!"); + } + + int fromStop = transitLayer.indexForStopId.get(fo.fromStopId); + int toStop = transitLayer.indexForStopId.get(fo.toStopId); + int viaStop = transitLayer.indexForStopId.get(fo.viaStopId); + int fare = peak ? fo.peakFare : fo.offPeakFare; + LIRRStop fromLirrStop = fareData.lirrStopForTransitLayerStop.get(fromStop); + LIRRStop toLirrStop = fareData.lirrStopForTransitLayerStop.get(toStop); + LIRRStop viaLirrStop = fareData.lirrStopForTransitLayerStop.get(viaStop); + + + fares.computeIfAbsent(fromLirrStop, k -> new HashMap<>()) + .computeIfAbsent(toLirrStop, k -> new TObjectIntHashMap<>()) + .put(viaLirrStop, fare); + } + } + return fares; + } + + private void initializeFareOverrides (NYCFareDataCache fareData) { + if (mnrPeakFareOverrides == null) { + synchronized (this) { + if (mnrPeakFareOverrides == null) { + mnrPeakFareOverrides = initializeMnrDirectFareOverrides(metroNorthFareOverrides, true); + mnrOffPeakFareOverrides = initializeMnrDirectFareOverrides(metroNorthFareOverrides, false); + + lirrPeakDirectFareOverrides = initializeLirrDirectFareOverrides(lirrFareOverrides, true, fareData); + lirrOffPeakDirectFareOverrides = initializeLirrDirectFareOverrides(lirrFareOverrides, false, fareData); + + lirrPeakViaFareOverrides = initializeLirrViaFareOverrides(lirrFareOverrides, true, fareData); + lirrOffPeakViaFareOverrides = initializeLirrViaFareOverrides(lirrFareOverrides, false, fareData); + } + } + } + } + + @Override + public FareBounds calculateFare(McRaptorSuboptimalPathProfileRouter.McRaptorState state, int maxClockTime) { + NYCFareDataCache fareData = getOrCreateFareData(); + initializeFareOverrides(fareData); + + // Extract relevant data about rides + TIntList patterns = new TIntArrayList(); + TIntList boardStops = new TIntArrayList(); + TIntList alightStops = new TIntArrayList(); + TIntList boardTimes = new TIntArrayList(); + // not using bitset b/c hard to reverse + List reachedViaOnStreetTransfer = new ArrayList<>(); + + McRaptorSuboptimalPathProfileRouter.McRaptorState stateForTraversal = state; + while (stateForTraversal != null) { + if (stateForTraversal.pattern == -1) { + stateForTraversal = stateForTraversal.back; + continue; // on the street, not on transit + } + patterns.add(stateForTraversal.pattern); + alightStops.add(stateForTraversal.stop); + boardStops.add(transitLayer.tripPatterns.get(stateForTraversal.pattern).stops[stateForTraversal.boardStopPosition]); + boardTimes.add(stateForTraversal.boardTime); + + // last condition is to avoid using loop transfer to throw away a negative Metro-North or LIRR transfer allowance + // check if back is an on-street transfer + boolean onStreetTransfer = stateForTraversal.back != null && stateForTraversal.back.back != null && + stateForTraversal.back.pattern == -1 && stateForTraversal.back.stop != stateForTraversal.back.back.stop; + reachedViaOnStreetTransfer.add(onStreetTransfer); + + stateForTraversal = stateForTraversal.back; + } + + // reverse data about the rides so we can step forward through them + patterns.reverse(); + alightStops.reverse(); + boardStops.reverse(); + boardTimes.reverse(); + Collections.reverse(reachedViaOnStreetTransfer); + + // TODO put all of these things into objects to make clearing less error-prone + // metroNorthState = null instead of clearing 5 fields. + List lirrBoardStops = null; + List lirrAlightStops = null; + List lirrDirections = null; + BitSet lirrPeak = new BitSet(); + TIntList lirrBoardTimes = new TIntArrayList(); + int lirrRideIndex = 0; + + int cumulativeFare = 0; + LIRRTransferAllowance lirr = null; + + // Metrocard fare information: where the fare came from (i.e. what mode was paid for), as this determines what + // you can transfer to. + NYCPatternType metrocardTransferSource = null; + int metrocardTransferExpiry = maxClockTime; + boolean inSubwayPaidArea = false; // when inside the subway paid area, we can change to a new subway line for free + + // Metro-North transfer information + int metroNorthBoardStop = -1; + int metroNorthAlightStop = -1; + boolean metroNorthPeak = false; + // keep track of whether we're on the NH line or a different one, since there are no free + // transfers from the New Haven line to the Harlem/Hudson lines, at least not with the one-way tickets + // http://www.iridetheharlemline.com/2010/09/22/question-of-the-day-can-i-use-my-ticket-on-other-lines/ + MetroNorthLine metroNorthLine = null; + int metroNorthDirection = -1; + int metroNorthBoardTime = -1; + + // ========================================== + // ======= MAIN FARE CALCULATION LOOP ======= + // ========================================== + // run one extra iteration, so the cleanup code to pay LIRR and MNR fares and check for subway exit + // can get run after the last ride so transfer allowances are correct. + for (int i = 0; i < patterns.size() + 1; i++) { + int pattern, boardStop, alightStop, boardTime, previousAlightStop; + boolean onStreetTransfer; + boolean lastIteration; + NYCPatternType patternType; + + if (i < patterns.size()) { + pattern = patterns.get(i); + boardStop = boardStops.get(i); + alightStop = alightStops.get(i); + boardTime = boardTimes.get(i); + onStreetTransfer = reachedViaOnStreetTransfer.get(i); + patternType = fareData.patternTypeForPattern[pattern]; + lastIteration = false; + } else { + // last iteration + pattern = boardStop = alightStop = boardTime = -1; + onStreetTransfer = false; // not used + patternType = null; + lastIteration = true; + } + + if (i > 0) { + // Don't do this at the end of the loop since there is short-circuit logic (continue) below + previousAlightStop = alightStops.get(i - 1); + } else { + previousAlightStop = -1; + } + + // I. CLEAN UP AFTER COMMUTER RAIL RIDE ==================================================================== + // I.A. PAY FARE UPON LEAVING THE LIRR + boolean thisPatternLirr = NYCPatternType.LIRR_OFFPEAK.equals(patternType) || + NYCPatternType.LIRR_PEAK.equals(patternType); + if (lirrBoardStops != null && (onStreetTransfer || !thisPatternLirr)) { + // we have left the LIRR, either by transferring on street or riding a different transit service. + lirr = new LIRRTransferAllowance(lirrBoardStops, lirrAlightStops, lirrDirections, lirrBoardTimes, lirrPeak, this); + int lirrFare = lirr.cumulativeFare; + int lirrDiscount = getToLirrDiscountForMetrocardTransferSource(metrocardTransferSource); + if (lirrDiscount > 0 && lirrBoardTimes.get(0) <= metrocardTransferExpiry) { + // We are using a transfer, clear MetroCard transfer allowance + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + lirrFare -= lirrDiscount; + if (lirrFare < 0) { + LOG.warn("Discount on LIRR is larger than LIRR fare; assuming it's free."); + lirrFare = 0; + } + } else { + // if a discount was used at boarding, we don't give a discount at alighting + // NB this may create issues if the transfer discounts are asymmetrical, by creating places where + // transfer allowances are negative. E.g. if a NICE bus gives a 1.75 discount off LIRR, and LIRR + // gives a 2.75 discount off local bus, riding the NICE bus before LIRR and foregoing the later discount + // makes the fare $1 higher than if you had discarded the NICE allowance beforehand. + // This also is slightly incorrect when a second ticket (rather than a via fare) was purchased for the + // LIRR, as in this case you would expect to get the second transfer, but that's a pretty minor edge case. + if (lirrMetrocardTransferSource != null) { + // NB this overwrites any previous MetroCard transfer information + // You can't carry a transfer with you on full-fare LIRR + metrocardTransferSource = lirrMetrocardTransferSource; + metrocardTransferExpiry = Math.min(lirr.mostRecentTicketPurchaseTime + NYCStaticFareData.METROCARD_TRANSFER_VALIDITY_TIME_SECONDS, maxClockTime); + } + } + cumulativeFare += lirrFare; + if (!lastIteration) { // don't clear LIRR transfer allowance information on last iteration, save it for use in dominance + lirr = null; + lirrBoardStops = null; + lirrAlightStops = null; + lirrPeak.clear(); + lirrRideIndex = 0; + } + } + + // I.B. PAY FARE FOR METRO-NORTH AFTER LEAVING + boolean thisPatternMnr = NYCPatternType.METRO_NORTH_PEAK.equals(patternType) || + NYCPatternType.METRO_NORTH_OFFPEAK.equals(patternType); + if (metroNorthBoardStop != -1 && (onStreetTransfer || !thisPatternMnr)) { + TIntObjectMap overrideFares = metroNorthPeak ? mnrPeakFareOverrides : mnrOffPeakFareOverrides; + int mnrFare; + if (overrideFares.containsKey(metroNorthBoardStop) && overrideFares.get(metroNorthBoardStop).containsKey(metroNorthAlightStop)) { + mnrFare = overrideFares.get(metroNorthBoardStop).get(metroNorthAlightStop); + } else { + mnrFare = fareData.getMetroNorthFare(metroNorthBoardStop, metroNorthAlightStop, + metroNorthPeak); + } + + int mnrDiscount = getToMnrDiscountForMetrocardTransferSource(metrocardTransferSource); + if (mnrDiscount > 0 && metroNorthBoardTime <= metrocardTransferExpiry) { + // Clear MetroCard transfer allowance + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + mnrFare -= mnrDiscount; + if (mnrFare < 0) { + LOG.warn("Discount on MNR is larger than MNR fare; assuming it's free."); + mnrFare = 0; + } + } else { + // see comment under LIRR about negative transfer allowances. + if (metroNorthMetrocardTransferSource != null) { + // NB this overwrites any previous MetroCard transfer information + // You can't carry a transfer with you on full-fare MNR + metrocardTransferSource = metroNorthMetrocardTransferSource; + metrocardTransferExpiry = Math.min(metroNorthBoardTime + NYCStaticFareData.METROCARD_TRANSFER_VALIDITY_TIME_SECONDS, maxClockTime); + } + } + cumulativeFare += mnrFare; + if (!lastIteration) { + // Don't clear Metro-North transfer information before returning transfer allowance + metroNorthBoardStop = metroNorthAlightStop = metroNorthDirection = -1; + metroNorthPeak = false; + metroNorthLine = null; + } + } + + if (lastIteration) break; // Clean up code from previous rides is done + + // II. PREPARE FOR THIS RIDE =============================================================================== + + // II.A. CLEAR NICE TRANSFER ALLOWANCE IF WE ARE GOING TO RIDE A DIFFERENT SERVICE + // All NICE routes have a list of allowable transfers, e.g. see the lower left corner of this schedule: + // http://www.nicebus.com/NICE/media/NiceBusPDFSchedules/NICE-n31_MapSchedule.pdf + // Implementing these is too complicated, so we just assume that any transfer that can be made on + // foot is allowable. But clear the transfer allowance if another service, such as Long Island Rail Road, + // that doesn't use the MetroCard transfer allowance system, is ridden. + if (NYCPatternType.METROCARD_NICE.equals(metrocardTransferSource) || NYCPatternType.METROCARD_NICE_ONE_TRANSFER.equals(metrocardTransferSource)) { + if (!(NYCPatternType.niceTransfers.contains(patternType) || + (getToLirrDiscountForMetrocardTransferSource(metrocardTransferSource) > 0 && + (NYCPatternType.LIRR_PEAK.equals(patternType) || NYCPatternType.LIRR_OFFPEAK.equals(patternType))) || + (getToMnrDiscountForMetrocardTransferSource(metrocardTransferSource) > 0 && + (NYCPatternType.METRO_NORTH_PEAK.equals(patternType) || NYCPatternType.METRO_NORTH_OFFPEAK.equals(patternType))))) { + // we are riding a service that doesn't provide a NICE discount. Clear the transfer allowance. + // This is correct even in the METROCARD_NICE_ONE_TRANSFER case, because if we transferred to another + // MetroCard service that _doesn't_ accept the NICE_ONE_TRANSFER transfer, a new ticket will be purchased and + // the transfer allowance cleared. + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } + } + + // II.B. CLEAR LOCAL BUS TO SIR TO SI FERRY IF NEXT RIDE IS NOT LOCAL BUS/SUBWAY + // This is to sort-of enforce that you can only get a second transfer if you board near the ferry terminal. + if (NYCPatternType.LOCAL_BUS_TO_SIR_TO_SI_FERRY.equals(metrocardTransferSource) && + !NYCPatternType.METROCARD_LOCAL_BUS.equals(patternType) && + !NYCPatternType.METROCARD_SUBWAY.equals(patternType) + ) { + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } + + // II.C. CLEAR LOCAL BUS TO FERRY TO SIR IF NEXT RIDE IS NOT LOCAL BUS + // This is to sort-of enforce that you can only get a second transfer if you board near the SIR, and keep + // the router from doubling back to lower manhattan on the ferry and transferring to a bus. + if (NYCPatternType.LOCAL_BUS_OR_SUBWAY_TO_SI_FERRY_TO_SIR.equals(metrocardTransferSource) && + !NYCPatternType.METROCARD_LOCAL_BUS.equals(patternType) + ) { + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } + + // II.D. CLEAR LOCAL BUS TO SIR IF FERRY IS NOT RIDDEN NEXT + // shouldn't matter, as riding any MetroCard service will clear it, but just for good measure + if (NYCPatternType.LOCAL_BUS_TO_SIR.equals(metrocardTransferSource) && !NYCPatternType.STATEN_ISLAND_FERRY.equals(patternType)) { + // transfer allowance is consumed + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } + + // No need to enforce for other options: + // LOCAL_BUS_TO_SI_FERRY, SUBWAY_TO_SI_FERRY: Only special when boarding SIR from Ferry, otherwise behaves exactly like a local + // bus or subway transfer allowance. These allowances are cleared if the SI Ferry is ridden twice, to prevent the router from doubling + // back using the ferry to get a local bus -> SIR -> local bus ride entirely on Staten Island. + + // II.E. CHECK FOR SUBWAY SYSTEM EXIT + // inSubwayPaidArea refers to whether we were in the subway paid area _before_ this ride at this point. + // Elvis has left the subway + if (inSubwayPaidArea) { + // If we're still riding the subway, check if it was a behind-gates transfer + if (NYCPatternType.METROCARD_SUBWAY.equals(patternType)) inSubwayPaidArea = hasBehindGatesTransfer(previousAlightStop, boardStop, fareData); + // If we're not still riding the subway, well then, it is tautologically clear that we have + // left the subway. + else inSubwayPaidArea = false; + } + + // III. PROCESS THIS RIDE ================================================================================== + // III.A. MTA LOCAL BUS + if (NYCPatternType.METROCARD_LOCAL_BUS.equals(patternType)) { + if (boardTime <= metrocardTransferExpiry && + // Allow transfers from all the metrocard types except METROCARD_NICE_ONE_TRANSFER and the + // SUFFOLK ones, which do not allow transfers to the MTA + (NYCPatternType.METROCARD_LOCAL_BUS.equals(metrocardTransferSource) || + // Special case: one more free transfer to local bus on Staten Island + // (bus/subway to SI Ferry to SIR implies we are now on Staten Island) + NYCPatternType.LOCAL_BUS_OR_SUBWAY_TO_SI_FERRY_TO_SIR.equals(metrocardTransferSource) || + // Special case: one more free transfer to local bus in Manhattan + // (bus to SIR to Ferry implies we are now in Manhattan) + NYCPatternType.LOCAL_BUS_TO_SIR_TO_SI_FERRY.equals(metrocardTransferSource) || + // It's okay to not ride the SIR after the ferry + NYCPatternType.LOCAL_BUS_TO_SI_FERRY.equals(metrocardTransferSource) || + NYCPatternType.SUBWAY_TO_SI_FERRY.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_EXPRESS_BUS.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_SUBWAY.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_NICE.equals(metrocardTransferSource) || + NYCPatternType.STATEN_ISLAND_RWY.equals(metrocardTransferSource))) { + // use transfer - free transfers to local bus from any MetroCard transferable route + // clear transfer information + // Not going to implement prohibited bus-bus transfers, as they are mostly to prevent round-trips + // anyhow, and would cause issues with pruning. + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } else { + // first ride on the local bus, buy a new ticket + cumulativeFare += NYCStaticFareData.LOCAL_BUS_SUBWAY_FARE; + metrocardTransferSource = NYCPatternType.METROCARD_LOCAL_BUS; + metrocardTransferExpiry = Math.min(boardTime + NYCStaticFareData.METROCARD_TRANSFER_VALIDITY_TIME_SECONDS, maxClockTime); + } + } + + // III.B. MTA EXPRESS BUS + else if (NYCPatternType.METROCARD_EXPRESS_BUS.equals(patternType)) { + if (boardTime <= metrocardTransferExpiry && + // Everything except NICE_ONE_TRANSFER, the SUFFOLK types, and the special types allowing two + // transfers from the SIR + (NYCPatternType.METROCARD_LOCAL_BUS.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_SUBWAY.equals(metrocardTransferSource) || + // It's okay to not ride the SIR after the ferry + NYCPatternType.LOCAL_BUS_TO_SI_FERRY.equals(metrocardTransferSource) || + NYCPatternType.SUBWAY_TO_SI_FERRY.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_NICE.equals(metrocardTransferSource) || + NYCPatternType.STATEN_ISLAND_RWY.equals(metrocardTransferSource))) { + // transfer from subway or local bus to express bus, pay upgrade fare and clear transfer allowance + cumulativeFare += NYCStaticFareData.EXPRESS_BUS_UPGRADE; + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } else if (boardTime <= metrocardTransferExpiry && + NYCPatternType.METROCARD_EXPRESS_BUS.equals(metrocardTransferSource)) { + // Free express bus -> express bus transfer, see http://web.mta.info/nyct/fare/pdf/NYCTransit_Tariff.pdf + // page 33. + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } else { + // pay new fare + cumulativeFare += NYCStaticFareData.EXPRESS_BUS_FARE; + metrocardTransferSource = NYCPatternType.METROCARD_EXPRESS_BUS; + metrocardTransferExpiry = Math.min(boardTime + NYCStaticFareData.METROCARD_TRANSFER_VALIDITY_TIME_SECONDS, maxClockTime); + } + } + + // III.C. MTA SUBWAY + else if (NYCPatternType.METROCARD_SUBWAY.equals(patternType)) { + // if we were already in the subway fare area, continue without fare interaction + if (inSubwayPaidArea) continue; // to next iteration of loop over rides + if (boardTime <= metrocardTransferExpiry && + // Everything except NICE_ONE_TRANSFER and the SUFFOLK types, the intermediate or + // Staten Island-bound Staten Island special cases and the subway + // (free subway transfers are only allowed within the subway paid area, and are handled above) + (NYCPatternType.METROCARD_LOCAL_BUS.equals(metrocardTransferSource) || + // It's okay to not ride the SIR after the ferry + NYCPatternType.LOCAL_BUS_TO_SI_FERRY.equals(metrocardTransferSource) || + // free transfer to subway after Local Bus -> SIR -> SIF + NYCPatternType.LOCAL_BUS_TO_SIR_TO_SI_FERRY.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_NICE.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_EXPRESS_BUS.equals(metrocardTransferSource) || + NYCPatternType.STATEN_ISLAND_RWY.equals(metrocardTransferSource))) { + // free transfer from bus/SIR to subway, but clear transfer allowance + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } else { + // pay new fare + cumulativeFare += NYCStaticFareData.LOCAL_BUS_SUBWAY_FARE; + metrocardTransferSource = NYCPatternType.METROCARD_SUBWAY; + metrocardTransferExpiry = Math.min(boardTime + NYCStaticFareData.METROCARD_TRANSFER_VALIDITY_TIME_SECONDS, + maxClockTime); + } + // we are now in the subway paid area, regardless of whether we boarded via a transfer or not. + inSubwayPaidArea = true; + } + + // III.D. STATEN ISLAND RAILWAY + else if (NYCPatternType.STATEN_ISLAND_RWY.equals(patternType)) { + // Fare is only paid on the SIR at St George and Tompkinsville, both for boarding and alighting. + // First calculate the full fare, then figure out transfers + int nFarePayments = 0; + if (fareData.statenIslandRwyFareStops.contains(boardStop)) nFarePayments++; + if (fareData.statenIslandRwyFareStops.contains(alightStop)) nFarePayments++; + + if (nFarePayments == 0) continue; // NO FARE INTERACTION, DO NOT UPDATE TRANSFER ALLOWANCES + else { + if (boardTime <= metrocardTransferExpiry && + // this is all the metrocard types except METROCARD_NICE_ONE_TRANSFER and the + // SUFFOLK ones, which do not allow transfers to the MTA, as well as the SIR + // because we assume no free SIR-SIR transfers. + (NYCPatternType.METROCARD_LOCAL_BUS.equals(metrocardTransferSource) || + NYCPatternType.LOCAL_BUS_TO_SI_FERRY.equals(metrocardTransferSource) || + NYCPatternType.SUBWAY_TO_SI_FERRY.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_EXPRESS_BUS.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_SUBWAY.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_NICE.equals(metrocardTransferSource))) { + nFarePayments--; // one fare payment is free + } + + if (nFarePayments == 0) { + // transfer was used and no new ticket was purchased + // handle the third-free-transfer cases + if (NYCPatternType.METROCARD_LOCAL_BUS.equals(metrocardTransferSource)) { + // allow one more free transfer if the ferry is ridden next + // don't reset expiration time + // NB this can only happen after riding a local bus that ends on Staten + // Island, because otherwise the transfer source would be LOCAL_BUS_TO_SI_FERRY + metrocardTransferSource = NYCPatternType.LOCAL_BUS_TO_SIR; + } else if (NYCPatternType.LOCAL_BUS_TO_SI_FERRY.equals(metrocardTransferSource) || NYCPatternType.SUBWAY_TO_SI_FERRY.equals(metrocardTransferSource)) { + // allow one more free transfer to local bus + metrocardTransferSource = NYCPatternType.LOCAL_BUS_OR_SUBWAY_TO_SI_FERRY_TO_SIR; + } else { + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } + } else { + // the fare was paid at least once (maybe twice) + cumulativeFare += nFarePayments * NYCStaticFareData.LOCAL_BUS_SUBWAY_FARE; + metrocardTransferSource = NYCPatternType.STATEN_ISLAND_RWY; + metrocardTransferExpiry = Math.min(boardTime + NYCStaticFareData.METROCARD_TRANSFER_VALIDITY_TIME_SECONDS, maxClockTime); + } + } + } + + // III.E. NICE BUS + // Some special cases here to handle that you get two free transfers to the NICE, but only + // one to MTA services + else if (NYCPatternType.METROCARD_NICE.equals(patternType)) { + if (boardTime <= metrocardTransferExpiry && + // this is all the metrocard types except the special ones allowing a third transfer + // when the SI Ferry and SIR are involved + (NYCPatternType.METROCARD_LOCAL_BUS.equals(metrocardTransferSource) || + // Okay to board nice after riding the ferry (though I'm not sure it's possible) + NYCPatternType.LOCAL_BUS_TO_SI_FERRY.equals(metrocardTransferSource) || + NYCPatternType.SUBWAY_TO_SI_FERRY.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_EXPRESS_BUS.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_SUBWAY.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_NICE.equals(metrocardTransferSource) || + NYCPatternType.METROCARD_NICE_ONE_TRANSFER.equals(metrocardTransferSource) || + NYCPatternType.SUFFOLK.equals(metrocardTransferSource) || + NYCPatternType.SUFFOLK_ONE_TRANSFER.equals(metrocardTransferSource) || + NYCPatternType.STATEN_ISLAND_RWY.equals(metrocardTransferSource))) { + // use the transfer + if (NYCPatternType.METROCARD_NICE.equals(metrocardTransferSource)) { + // if we're transferring NICE -> NICE, we get one more transfer + metrocardTransferSource = NYCPatternType.METROCARD_NICE_ONE_TRANSFER; + } else { + // consume any other transfer type, with special logic for Suffolk upgrade fares + if (NYCPatternType.SUFFOLK.equals(metrocardTransferSource)) { + // buy the transfer slip and the upgrade to the NICE fare, don't allow further transfers + cumulativeFare += NYCStaticFareData.SUFFOLK_TRANSFER_SLIP + + NYCStaticFareData.SUFFOLK_NICE_TRANSFER; + } else if (NYCPatternType.SUFFOLK_ONE_TRANSFER.equals(metrocardTransferSource)) { + // transfer slip already bought, upgrade to NICE fare + cumulativeFare += NYCStaticFareData.SUFFOLK_NICE_TRANSFER; + } + + // transfer allowance is consumed in any case (including Suffolk cases) + // Note that NICE_ONE_TRANSFER is implicitly handled here + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } + } else { + // pay new fare + cumulativeFare += NYCStaticFareData.NICE_FARE; + metrocardTransferSource = NYCPatternType.METROCARD_NICE; + metrocardTransferExpiry = Math.min(boardTime + NYCStaticFareData.METROCARD_TRANSFER_VALIDITY_TIME_SECONDS, maxClockTime); + } + } + + // III.F. SUFFOLK COUNTY TRANSIT + else if (NYCPatternType.SUFFOLK.equals(patternType)) { + boolean transferValid = boardTime <= metrocardTransferExpiry; + if (transferValid && NYCPatternType.METROCARD_NICE.equals(metrocardTransferSource)) { + // free transfer from NICE, consume allowance + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } else if (transferValid && NYCPatternType.SUFFOLK.equals(metrocardTransferSource)) { + // buy the transfer slip for Suffolk County Transit + cumulativeFare += NYCStaticFareData.SUFFOLK_TRANSFER_SLIP; + metrocardTransferSource = NYCPatternType.SUFFOLK_ONE_TRANSFER; // update to one_transfer allowance + // leave expiration time alone + } else if (transferValid && NYCPatternType.SUFFOLK_ONE_TRANSFER.equals(metrocardTransferSource)) { + // transfer slip already bought, but consume transfer allowance + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + } else { + // Buy an SCT ticket + // Note that Suffolk County Transit does not use the MetroCard system, but it simplifies implementation + // if we treat it like it does. This does prevent a user from holding a Metrocard transfer + // and a Suffolk transfer simultaneously, but I can't imagine why this would be useful. + // Suffolk <-> NICE is handled explicitly, and the other MetroCard services are so far + // from Suffolk County that you would never to Subway -> SCT -> Subway or + // SCT -> Subway -> SCT + cumulativeFare += NYCStaticFareData.SUFFOLK_FARE; + metrocardTransferSource = NYCPatternType.SUFFOLK; + metrocardTransferExpiry = Math.min(boardTime + NYCStaticFareData.SUFFOLK_TRANSFER_VALIDITY_TIME_SECONDS, maxClockTime); + } + + // TODO assuming that there is no free transfer from NICE_ONE_TRANSFER? + } + + // III.G. STATEN ISLAND FERRY + else if (NYCPatternType.STATEN_ISLAND_FERRY.equals(patternType)) { + // No fare interaction, as the Staten Island Ferry is free. But we do use the SI ferry to "enforce" + // the two-transfer rule for Local Bus -> SIR -> Bus/Subway in lower Manhattan and vice-versa, so + // update Metrocard transfer allowance appropriately + if (NYCPatternType.LOCAL_BUS_TO_SIR.equals(metrocardTransferSource)) metrocardTransferSource = NYCPatternType.LOCAL_BUS_TO_SIR_TO_SI_FERRY; + else if (NYCPatternType.METROCARD_LOCAL_BUS.equals(metrocardTransferSource)) metrocardTransferSource = NYCPatternType.LOCAL_BUS_TO_SI_FERRY; + else if (NYCPatternType.METROCARD_SUBWAY.equals(metrocardTransferSource)) metrocardTransferSource = NYCPatternType.SUBWAY_TO_SI_FERRY; + // prevent the router from riding the SI Ferry twice to get a free trip entirely on Staten Island by doing bus -> SI Ferry -> SI Ferry -> SIR -> Bus + // Don't take away the transfer allowance when doing this, just remove the special "ferry" privileges + // To get the special Staten Island transfer, you must ride the ferry an odd number of times, which means + // you must have started on Staten Island and ended in Manhattan, or vice-versa. + else if (NYCPatternType.LOCAL_BUS_TO_SI_FERRY.equals(metrocardTransferSource)) metrocardTransferSource = NYCPatternType.METROCARD_LOCAL_BUS; + else if (NYCPatternType.SUBWAY_TO_SI_FERRY.equals(metrocardTransferSource)) metrocardTransferSource = NYCPatternType.METROCARD_SUBWAY; + else if (NYCPatternType.LOCAL_BUS_TO_SIR_TO_SI_FERRY.equals(metrocardTransferSource)) metrocardTransferSource = NYCPatternType.LOCAL_BUS_TO_SIR; + } + + // III.H. METRO-NORTH RAILROAD + else if (NYCPatternType.METRO_NORTH_PEAK.equals(patternType) || NYCPatternType.METRO_NORTH_OFFPEAK.equals(patternType)) { + boolean thisRidePeak = NYCPatternType.METRO_NORTH_PEAK.equals(patternType); + MetroNorthLine thisRideLine = fareData.mnrLineForPattern.get(pattern); + int thisRideDirection = transitLayer.tripPatterns.get(pattern).directionId; + + if (metroNorthBoardStop != -1) { + // this is the second, etc. ride in a Metro-North trip + if (thisRideDirection != metroNorthDirection || thisRideLine != metroNorthLine) { + // we have changed direction or line. Pay for the previous ride, and reset the Metro-North transfer allowance + // No via fares on Metro-North, unlike LIRR + // TODO copy-pasted code here! + TIntObjectMap overrideFares = metroNorthPeak ? mnrPeakFareOverrides : mnrOffPeakFareOverrides; + int mnrFare; + if (overrideFares.containsKey(metroNorthBoardStop) && overrideFares.get(metroNorthBoardStop).containsKey(metroNorthAlightStop)) { + mnrFare = overrideFares.get(metroNorthBoardStop).get(metroNorthAlightStop); + } else { + mnrFare = fareData.getMetroNorthFare(metroNorthBoardStop, metroNorthAlightStop, + metroNorthPeak); + } + + int mnrDiscount = getToMnrDiscountForMetrocardTransferSource(metrocardTransferSource); + if (mnrDiscount > 0 && metroNorthBoardTime <= metrocardTransferExpiry) { + // Clear MetroCard transfer allowance + metrocardTransferSource = null; + metrocardTransferExpiry = maxClockTime; + mnrFare -= mnrDiscount; + if (mnrFare < 0) { + LOG.warn("Discount on MNR is larger than MNR fare; assuming it's free."); + mnrFare = 0; + } + } else { + if (metroNorthMetrocardTransferSource != null) { + // NB this overwrites any previous MetroCard transfer information + // You can't carry a transfer with you on full-fare MNR + metrocardTransferSource = metroNorthMetrocardTransferSource; + metrocardTransferExpiry = Math.min(metroNorthBoardTime + NYCStaticFareData.METROCARD_TRANSFER_VALIDITY_TIME_SECONDS, maxClockTime); + } + } + + // Reset Metro-North transfer allowance for the new ride + cumulativeFare += mnrFare; + metroNorthBoardStop = boardStop; + metroNorthAlightStop = alightStop; + metroNorthPeak = thisRidePeak; + metroNorthDirection = thisRideDirection; + metroNorthLine = thisRideLine; + metroNorthBoardTime = boardTime; + } else { + // same direction transfer, just extend existing Metro-North ride + metroNorthAlightStop = alightStop; + metroNorthPeak |= thisRidePeak; // any ride that involves a peak ride anywhere is a peak fare. + } + } else { + // new metro-north ride + metroNorthBoardStop = boardStop; + metroNorthAlightStop = alightStop; + metroNorthPeak = thisRidePeak; + metroNorthDirection = thisRideDirection; + metroNorthLine = thisRideLine; + metroNorthBoardTime = boardTime; + } + } + + // III.I. NYC FERRY + else if (NYCPatternType.NYC_FERRY.equals(patternType)) { + // simple, just increment the fare, no transfers, don't adjust xfer allowances + cumulativeFare += NYCStaticFareData.NYC_FERRY_FARE; + } + + // III.J. NYC FERRY FREE SHUTTLE BUS + // I can't find anywhere where it says that these can only be used in conjunction with + // a ferry. Pickup_type and dropoff_type is 0 at all stops, but we could change that to + // only allow pickups/dropoffs at the ferry terminal. + else if (NYCPatternType.NYC_FERRY_BUS.equals(patternType)) { + // do nothing, but keep this here so we don't throw an unknown pattern type error later + } + + // III.K. LONG ISLAND RAIL ROAD + // TODO refactor to use pattern type + else if (fareData.allLirrPatterns.contains(pattern)) { + if (lirrBoardStops == null) { + // new ride on the LIRR + lirrBoardStops = new ArrayList<>(); + lirrAlightStops = new ArrayList<>(); + lirrDirections = new ArrayList<>(); + lirrPeak.clear(); + lirrBoardTimes.clear(); + lirrRideIndex = 0; + + LIRRStop lirrBoardStop = fareData.lirrStopForTransitLayerStop.get(boardStop); + LIRRStop lirrAlightStop = fareData.lirrStopForTransitLayerStop.get(alightStop); + + if (lirrBoardStop == null) throw new IllegalStateException("No LIRRStop found for transit layer stop " + boardStop); + if (lirrAlightStop == null) throw new IllegalStateException("No LIRRStop found for transit layer stop " + alightStop); + + lirrBoardStops.add(lirrBoardStop); + lirrBoardTimes.add(boardTime); + lirrAlightStops.add(lirrAlightStop); + lirrDirections.add(LIRRTransferAllowance.LIRRDirection.forGtfsDirection(transitLayer.tripPatterns.get(pattern).directionId)); + lirrPeak.set(lirrRideIndex, fareData.peakLirrPatterns.contains(pattern)); + } else { + // continue existing ride on the LIRR + if (boardStop != previousAlightStop) { + throw new IllegalStateException("LIRR transfer allowance preserved after on-street transfer!"); + } + + lirrRideIndex++; + lirrBoardStops.add(fareData.lirrStopForTransitLayerStop.get(boardStop)); + lirrBoardTimes.add(boardTime); + lirrAlightStops.add(fareData.lirrStopForTransitLayerStop.get(alightStop)); + lirrDirections.add(LIRRTransferAllowance.LIRRDirection.forGtfsDirection(transitLayer.tripPatterns.get(pattern).directionId)); + lirrPeak.set(lirrRideIndex, fareData.peakLirrPatterns.contains(pattern)); + } + } + + // III.L. WESTCHESTER BxM4C MANHATTAN EXPRESS + // This has a special no-transfer fare, while other Westchester Bee-Line routes are just MetroCard Local Buses + // Don't touch transfer allowances here (although I suppose this might actually clear you MetroCard transfer + // allowance, but that's not documented) + else if (NYCPatternType.WESTCHESTER_BXM4C.equals(patternType)) { + cumulativeFare += NYCStaticFareData.BXM4C_FARE; + } + + // III.M. AIRTRAIN JFK + // Flat fare, don't touch transfer allowance. I suppose IRL this might clear the transfer allowance since you + // do pay with your MetroCard, but again, not documented + else if (NYCPatternType.AIRTRAIN_JFK.equals(patternType)) { + // pay fare on entry or exit at Howard Beach or Jamaica + // I assume that if you go from Howard Beach to Jamaica you pay twice... which is why + // these are separate ifs + // (I'm also not sure you can get from Howard Beach to Jamaica without a transfer, but if statements are cheap) + if (fareData.airtrainJfkFareStops.contains(boardStop)) cumulativeFare += NYCStaticFareData.AIRTRAIN_JFK_FARE; + if (fareData.airtrainJfkFareStops.contains(alightStop)) cumulativeFare += NYCStaticFareData.AIRTRAIN_JFK_FARE; + } + + else { + throw new IllegalStateException("Unrecognized pattern type!"); + } // END CHAINED IF OVER PATTERN TYPES + } // END LOOP OVER RIDES + + // IF WE HAVE AN ON-STREET TRANSFER, RECORD WHETHER WE'VE LEFT THE LIRR/METRO-NORTH/SUBWAY FOR DOMINATION PURPOSES + // don't consider a loop transfer to be an on-street transfer - the router will cunningly use this to get rid of + // negative transfer allowances. + if (state.pattern == -1 && state.back != null && state.stop != state.back.stop) { + // clear LIRR transfer allowance - no on street transfers with LIRR + lirr = null; + // clear MNR transfer allowance - no on street transfers with MNR + metroNorthBoardStop = metroNorthAlightStop = metroNorthDirection = -1; + metroNorthPeak = false; + metroNorthLine = null; + // record if we've left the subway paid area + if (inSubwayPaidArea) { + inSubwayPaidArea = hasBehindGatesTransfer(state.back.stop, state.stop, fareData); + } + } + + return new FareBounds(cumulativeFare, + new NYCTransferAllowance(lirr, metrocardTransferSource, metrocardTransferExpiry, + inSubwayPaidArea, + metroNorthBoardStop, metroNorthDirection, metroNorthPeak, metroNorthLine + )); + } + + /** return true if you can transfer from subway stop from to to without leaving the system */ + public static boolean hasBehindGatesTransfer (int from, int to, NYCFareDataCache fareData) { + if (from == to) return true; // same platform + else { + String previousFareArea = fareData.fareAreaForStop.get(from); + String thisFareArea = fareData.fareAreaForStop.get(to); + // both in the same fare area (behind gates) + // okay to use == here since fare areas are interned - warning can be ignored + //noinspection StringEquality,ConditionCoveredByFurtherCondition + return previousFareArea != null && thisFareArea != null && previousFareArea == thisFareArea; + } + } + + private int getToMnrDiscountForMetrocardTransferSource (NYCPatternType metrocardTransferSource) { + if (metrocardTransferSource == null || toMetroNorthDiscounts == null) return 0; + else return toMetroNorthDiscounts.getOrDefault(metrocardTransferSource, 0); + } + + private int getToLirrDiscountForMetrocardTransferSource (NYCPatternType metrocardTransferSource) { + if (metrocardTransferSource == null || toLirrDiscounts == null) return 0; + else return toLirrDiscounts.getOrDefault(metrocardTransferSource, 0); + } + + @Override + public String getType() { + return "nyc"; + } + + public enum MetroNorthLine { + HARLEM, HUDSON, NEW_HAVEN // and branches + } + + /** Used from API to override particular Metro-North and LIRR fares */ + public static class FareOverride { + public String fromStopId; + public String toStopId; + public String viaStopId; // only for LIRR + public int peakFare; + public int offPeakFare; + } +} diff --git a/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCPatternType.java b/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCPatternType.java new file mode 100644 index 00000000..71c109df --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCPatternType.java @@ -0,0 +1,88 @@ +package com.conveyal.r5.analyst.fare.nyc; + +import com.google.common.collect.Sets; + +import java.util.Set; + +public enum NYCPatternType { + // TODO move peakLirrPatterns and allLirrPatterns in here + /** A local bus ($2.75), with free transfers to subway or other local bus */ + METROCARD_LOCAL_BUS, + /** NYC subway, free within-system transfers, and free transfers to local bus. 3.75 upgrade to Express Bus */ + METROCARD_SUBWAY, + /** + * Metrocard NICE routes are _almost_ the same as Metrocard local bus, but offer _two_ transfers to add'l NICE buses + * At least, that seems to be what the text here implies, but it's not completely clear: + * https://www.vsvny.org/vertical/sites/%7BBC0696FB-5DB8-4F85-B451-5A8D9DC581E3%7D/uploads/NICE-n1_Maps_and_Schedules.pdf + * "two connecting NICE bus routes" I assume they mean two more after the first one. + * We're not handling all rules about where you can transfer. + */ + METROCARD_NICE, + + /** + * This is not assigned to any patterns, but is used as a metrocard transfer source after two NICE rides, + * to indicate that one more NICE ride is free, but no rides on other services are transfer-eligible. + */ + METROCARD_NICE_ONE_TRANSFER, + + /** Staten Island Railway. This is different from the subway because it provides a free transfer to/from all subway lines */ + STATEN_ISLAND_RWY, + /** MTA Express buses, $6.75 or $3.75 upgrade from local bus (yes, it's cheaper to transfer from local bus) */ + METROCARD_EXPRESS_BUS, + STATEN_ISLAND_FERRY, + METRO_NORTH_PEAK, + METRO_NORTH_OFFPEAK, + // TODO currently unused + LIRR_OFFPEAK, LIRR_PEAK, + NYC_FERRY, + NYC_FERRY_BUS, // Free shuttle bus to NYC Ferry terminals + /** + * The BxM4C is a special express bus to Manhattan with no transfers. + * Other Westchester County routes are identical to MTA local buses. + */ + WESTCHESTER_BXM4C, + + SUFFOLK, + + /** Used after a single transfer on Suffolk County Transit */ + SUFFOLK_ONE_TRANSFER, + + AIRTRAIN_JFK, + + /** Special cases for Staten Island Railway + * You get a free transfer from Local Bus -> SIR -> Subway/Local Bus in lower Manhattan. + * We don't reproduce this exactly because of the complexity of handling all the possible board points, + * but we do allow you to do local bus -> SIR -> SI ferry -> bus/subway and bus/subway -> SI ferry + * -> SIR -> local bus. By enforcing the use of the ferry, and not allowing non-MetroCard services between + * the ferry and the SIR/local bus/subway, we sort of capture the correct behavior. + * These states represent after riding Local Bus -> SIR, after riding Local Bus -> SIR -> Ferry, + * and after riding Subway/Bus -> Ferry, and Subway/Bus -> Ferry -> SIR. + * + * We don't enforce the "no other services between Subway/Bus and SIR" rule on the reverse trip, because + * it would require keeping local bus/subway allowances in Lower Manhattan separate based on whether there was + * another service used. Since the commuter rail is quite far from the SI ferry landing, the only other + * services that could be used to circumvent the "get off near the ferry" rule are the NYC Ferry and the + * NYC Ferry buses. In any case, since you don't tag out of the subway/bus, there's no way for the MetroCard + * system to enforce this rule. + */ + LOCAL_BUS_TO_SIR, LOCAL_BUS_TO_SIR_TO_SI_FERRY, + // keep these separate as they have different transfer allowances for reboarding the subway - + // important if you took a local bus on Staten Island to St George, you can still get on the subway + // in Manhattan for free + LOCAL_BUS_TO_SI_FERRY, SUBWAY_TO_SI_FERRY, + LOCAL_BUS_OR_SUBWAY_TO_SI_FERRY_TO_SIR // same transfer allowance after riding ferry + + ; + + /** + * The services that you can get a discounted transfer to from NICE. We do this because NICE has + * very specific lists of connecting routes, that we're not implementing. But we do assume that if + * you have to take another transit service (e.g. LIRR) to connect between NICE and some other transit + * service, you lose the NICE transfer discount on the next ride (so you can't do NICE -> LIRR -> NICE + * and get the second NICE ride for free). This set is used to determine if a discounted transfer is available, + * otherwise the transfer allowance is cleared. + */ + public static final Set niceTransfers = + Sets.immutableEnumSet(METROCARD_LOCAL_BUS, METROCARD_EXPRESS_BUS, METROCARD_SUBWAY, METROCARD_NICE, + METROCARD_NICE_ONE_TRANSFER, STATEN_ISLAND_RWY, SUFFOLK); +} diff --git a/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCStaticFareData.java b/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCStaticFareData.java new file mode 100644 index 00000000..2ab5e61f --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCStaticFareData.java @@ -0,0 +1,164 @@ +package com.conveyal.r5.analyst.fare.nyc; + +import com.csvreader.CsvReader; +import com.google.common.collect.Sets; +import gnu.trove.map.TObjectIntMap; +import gnu.trove.map.hash.TObjectIntHashMap; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.io.IOException; +import java.io.InputStream; +import java.nio.charset.StandardCharsets; +import java.util.HashMap; +import java.util.HashSet; +import java.util.Map; +import java.util.Set; + +/** + * A class that contains a bunch of static data about fares in NYC + * + * Note that stop_ids and route_ids are referenced directly in several places within this file and in + * the CSV files it reads. Changing the version of the GTFS used with this fare calculator may result + * in incorrect results. + */ +public class NYCStaticFareData { + public static final int LOCAL_BUS_SUBWAY_FARE = 275; + public static final int EXPRESS_BUS_FARE = 675; + public static final int EXPRESS_BUS_UPGRADE = 375; + /** + * technically I think this is 2h18m to allow for schedule adherence issues, but since we're not + * modeling schedule adherence leave at the advertised 2h. + */ + public static final int METROCARD_TRANSFER_VALIDITY_TIME_SECONDS = 2 * 60 * 60; + public static final int NYC_FERRY_FARE = 275; + public static final int METRO_NORTH_MAX_FARE; + public static final int BXM4C_FARE = 750; + public static final int NICE_FARE = 275; + public static final int SUFFOLK_FARE = 225; + /** 25 cents for a transfer slip on Suffolk Transit */ + public static final int SUFFOLK_TRANSFER_SLIP = 25; + /** 25 cents for a transfer to NICE, _in addition to_ the transfer slip */ + public static final int SUFFOLK_NICE_TRANSFER = 25; + public static final int SUFFOLK_TRANSFER_VALIDITY_TIME_SECONDS = 2 * 60 * 60; + public static final int AIRTRAIN_JFK_FARE = 775; + + public static final TObjectIntMap METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE = + new TObjectIntHashMap<>(10, 0.9f, -1); + + static { + // due to a likely mistake in the NYC transfer system, transferring from a 2.75 subway/bus to a 6.75 express bus + // is a 3.75 upgrade, meaning that subway + express bus = 2.75 + 3.75 = 6.50. I suspect they meant to make the + // transfer amount 4.25 and they messed up on the math. Anyhow, that means that max transfer allowance from the + // subway/local bus is 3.00... + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.METROCARD_SUBWAY, 300); + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.METROCARD_LOCAL_BUS, 300); + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.STATEN_ISLAND_RWY, 300); + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.METROCARD_EXPRESS_BUS, 675); // free transfer to express bus + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.METROCARD_NICE, 300); + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.METROCARD_NICE_ONE_TRANSFER, 300); + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.SUFFOLK, 225); // save 2.25 off of NICE fare + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.SUFFOLK_ONE_TRANSFER, 250); // save 2.50 off of NICE fare + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.LOCAL_BUS_TO_SI_FERRY, 300); // save 3.00 off express bus + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.SUBWAY_TO_SI_FERRY, 300); // save 3.00 off express bus + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.LOCAL_BUS_OR_SUBWAY_TO_SI_FERRY_TO_SIR, 275); // save 2.75 off local bus + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.LOCAL_BUS_TO_SIR_TO_SI_FERRY, 275); // save 2.75 off local bus/subway + METROCARD_TRANSFER_ALLOWANCE_FOR_PATTERN_TYPE.put(NYCPatternType.LOCAL_BUS_TO_SIR, 275); // save 275 off local bus/subway in Manhattan + } + + private static final Logger LOG = LoggerFactory.getLogger(NYCStaticFareData.class); + + public static final Set expressBusRoutes = new HashSet<>(); + + /** Peak fares on Metro-North, retrieve with .get(from).get(to) */ + public static final Map> mnrPeakFares = new HashMap<>(); + + /** Offpeak fares on Metro-North, retrieve with .get(from).get(to) */ + public static final Map> mnrOffpeakFares = new HashMap<>(); + + /** + * Map from subway stop IDs to station complex IDs. Any stops in the same same station complex have free transfers + * The station complex IDs are interned so that == can be used efficiently. + */ + public static final Map subwayTransfers = new HashMap<>(); + + /** Staten Island Railway only collects fares at two stops: St George and Tompkinsville. These are the IDs of those stops */ + public static final Set statenIslandRwyFareStops = Sets.newHashSet( + "nyct_subway_S31", "nyct_subway_S31N", "nyct_subway_S31S", // St George + "nyct_subway_S30", "nyct_subway_S30N", "nyct_subway_S30S" // Tompkinsville + ); + + /** AirTrain JFK collects fares at two stops: Howard Beach and Jamaica. These are their stop IDs */ + public static final Set airtrainJfkFareStops = Sets.newHashSet("airtrain_160567", "airtrain_160565"); + + static { + readExpressBusRoutes(); + readSubwayTransfers(); + METRO_NORTH_MAX_FARE = readMetroNorthFares(); + } + + private static void readExpressBusRoutes () { + LOG.info("Reading express bus routes"); + readCsvFromClasspath("fares/nyc/mta/express_bus_routes.csv", rdr -> expressBusRoutes.add(rdr.get("route_id"))); + } + + private static void readSubwayTransfers () { + LOG.info("Reading subway transfers"); + readCsvFromClasspath("fares/nyc/mta/subway_transfers.csv", rdr -> { + String stop = rdr.get("stop_id"); + + if (subwayTransfers.containsKey(stop)) throw new IllegalStateException("Duplicate stop " + stop + " in subway_transfers.csv!"); + + subwayTransfers.put(stop, rdr.get("fare_area_id").intern()); // intern for efficiency + }); + } + + private static int readMetroNorthFares () { + int[] maxFare = new int[] {0}; + + LOG.info("Reading Metro-North fares"); + readCsvFromClasspath("fares/nyc/mnr/mnr_fares.csv", rdr -> { + String fromStopId = rdr.get("from_stop_id"); + String toStopId = rdr.get("to_stop_id"); + int peakFare = Integer.parseInt(rdr.get("peak")); + int offpeakFare = Integer.parseInt(rdr.get("offpeak")); + + maxFare[0] = Math.max(peakFare, maxFare[0]); + maxFare[0] = Math.max(offpeakFare, maxFare[0]); + + mnrPeakFares.computeIfAbsent(fromStopId, k -> new TObjectIntHashMap<>()).put(toStopId, peakFare); + mnrOffpeakFares.computeIfAbsent(fromStopId, k -> new TObjectIntHashMap<>()).put(toStopId, offpeakFare); + }); + + // return rather than setting directly since max_fare is final + return maxFare[0]; + } + + /** Read a CSV file from the classpath, calling forEachRow with the CSV reader as a parameter after the reader + * has been advanced to each row. + * @param name Filename on classpath + */ + private static void readCsvFromClasspath (String name, IOExceptionConsumer forEachRow) { + InputStream is = null; + try { + is = NYCStaticFareData.class.getClassLoader().getResourceAsStream(name); + CsvReader rdr = new CsvReader(is, ',', StandardCharsets.UTF_8); + rdr.readHeaders(); + while (rdr.readRecord()) forEachRow.accept(rdr); + } catch (IOException e) { + LOG.error("IO Exception reading {}", name, e); + } finally { + try { + is.close(); + } catch (IOException e) { + LOG.error("IO Exception closing {}", name, e); + } + } + } + + /** Just a consumer that allows throwing an IOException */ + @FunctionalInterface + private interface IOExceptionConsumer { + void accept (T t) throws IOException; + } +} diff --git a/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCTransferAllowance.java b/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCTransferAllowance.java new file mode 100644 index 00000000..7a0a1ebd --- /dev/null +++ b/src/main/java/com/conveyal/r5/analyst/fare/nyc/NYCTransferAllowance.java @@ -0,0 +1,116 @@ +package com.conveyal.r5.analyst.fare.nyc; + +import com.conveyal.r5.analyst.fare.TransferAllowance; + +/** + * A transfer allowance for NYC. This has a bunch of sub-transfer TODO clarify this comment. + */ + +public class NYCTransferAllowance extends TransferAllowance { + // all these are public so they can be JSON-serialized for the debug interface + + public final LIRRTransferAllowance lirr; + public final NYCPatternType metrocardTransferSource; + public final int metrocardTransferExpiry; + + public boolean inSubwayPaidArea; + + /** Where the Metro-North was boarded, -1 if not on Metro-North */ + public final int metroNorthBoardStop; + + /** Direction of the current Metro-North trip, -1 if not on Metro-North */ + public final int metroNorthDirection; + + /** Whether the current Metro-North trip is peak or not */ + public final boolean metroNorthPeak; + + /** Since metro-north doesn't allow inter-line transfers, record which line we are on */ + public final NYCInRoutingFareCalculator.MetroNorthLine metroNorthLine; + + /** + * Whether the current Metro-North trip is on the New Haven line + * This is important because there are no free transfers between the New Haven and Harlem/Hudson + * lines, see http://www.iridetheharlemline.com/2010/09/22/question-of-the-day-can-i-use-my-ticket-on-other-lines/ + */ + + public NYCTransferAllowance(LIRRTransferAllowance lirr, NYCPatternType metrocardTransferSource, + int metrocardTransferExpiry, boolean inSubwayPaidArea, + int metroNorthBoardStop, int metroNorthDirection, boolean metroNorthPeak, + NYCInRoutingFareCalculator.MetroNorthLine metroNorthLine) { + // only the value needs to be set correctly. The expiration time and number of transfers left are only used in + // the second domination rule, which we override in atLeastAsGoodForAllFutureRedemptions + // value is set to $100,000 - this effectively disables Theorem 3.1 from the paper + // (https://files.indicatrix.org/Conway-Stewart-2019-Charlie-Fare-Constraints.pdf) + // Theorem 3.1 depends on nonnegativity of transfer allowances, which we cannot guarantee in New York - + // see comments about Metro-North below. This is fine for algorithm correctness, although it means retaining + // more trips than necessary. You can think of it as a ghost transfer to a (very expensive) transit service that + // will never be optimal. Virgin Galactic flights are $250,000, or $150,000 with your LIRR ticket, etc. + // Theorem 3.2 does not depend on assumptions about nonnegativity of transfer allowances, as long as negative + // transfer allowances are considered in atLeastAsGoodForAllFutureRedemptions. + super(100_000_00, Integer.MAX_VALUE, Integer.MAX_VALUE); + this.lirr = lirr; + this.metrocardTransferSource = metrocardTransferSource; + this.metrocardTransferExpiry = metrocardTransferExpiry; + this.inSubwayPaidArea = inSubwayPaidArea; + this.metroNorthBoardStop = metroNorthBoardStop; + this.metroNorthDirection = metroNorthDirection; + this.metroNorthPeak = metroNorthPeak; + this.metroNorthLine = metroNorthLine; + } + + @Override + public boolean atLeastAsGoodForAllFutureRedemptions(TransferAllowance other) { + // Note that we're not calling super here, all logic is reimplemented here. + // This goes through lots of ways other could be better than this, and returns false if + // other is possibly better in any way. + if (other instanceof NYCTransferAllowance) { + NYCTransferAllowance o = (NYCTransferAllowance) other; + // if this LIRR is not at least as good as other for all future redemptions, this NYCTransferAllowance + // is not as good as or better than the other for all future redemptions + if (lirr != null && !lirr.atLeastAsGoodForAllFutureRedemptions(o.lirr)) return false; + // If the other has an LIRR transfer allowance and this doesn't, other could be better for some destinations + // However, if both are null, they are equivalent + if (lirr == null && o.lirr != null) return false; + + // if they don't have the same metrocard transfer source, retain both -- different transfer rules + // exception: if other does not have a metrocard transfer source, it can't be better on this criterion + // This is not strictly true, consider a local bus ->express bus -> express bus trip and a local bus -> local bus -> + // express bus -> express bus trip. After the local buses, the first one has a better transfer allowance, and the same + // cumulative fare, but will result in a more expensive trip. But we have decided not to support this type of + // negativity of transfer allowances, where throwaway buses are ridden only to reduce the total fare. + if (metrocardTransferSource != o.metrocardTransferSource && o.metrocardTransferSource != null) return false; + + // If the other expires later, it could be better + if (metrocardTransferExpiry < o.metrocardTransferExpiry) return false; // expires sooner + + // if the other is in the subway and this is not, other could be better. All else equal, it is always better + // to be in the subway than not in the subway - because leaving the subway is free. + if (!inSubwayPaidArea && o.inSubwayPaidArea) return false; // free transfer with other and not with this + + // if other does not have a Metro-North allowance, it could be better - particularly when peak/off-peak + // is involved. It may be valuable to board further down the line, if you can avoid a peak fare. + // Consider a trip from Manhattan to White Plains, under the City Fare scenario. Say one option is to take + // Metro-North from Grand Central to Botanical Garden - this would cost 2.75 under the city fare scenario. + // Another option is to take the subway - this would also cost 2.75. At Botanical Garden, the Metro-North + // service would be considered superior, because it has a Metro-North transfer allowance and the subway does + // not. But actually, if you then board another Metro-North train to White Plains, the router will extend + // the trip (rather than allowing you to buy two tickets) and the total fare will be 12.75, whereas if you + // switched to Metro-North from the subway the fare would only be 2.75 + 4.25 = $7. But at the intermediate + // point the Metro-North prefix was considered preferable. + // otherwise, this is only the same or better if board stops, peak/offpeak, + // directions, and line are all the same. This will overretain trips, but Metro-North + // is small enough this should be fine. + if (metroNorthBoardStop != o.metroNorthBoardStop || + metroNorthPeak != o.metroNorthPeak || + metroNorthDirection != o.metroNorthDirection || + metroNorthLine != o.metroNorthLine + ) return false; + + // if we got here, we're good + return true; + } else { + throw new IllegalArgumentException("Mixing of transfer allowance types!"); + } + } + +} diff --git a/src/main/java/com/conveyal/r5/analyst/scenario/AddTrips.java b/src/main/java/com/conveyal/r5/analyst/scenario/AddTrips.java index bfdcf1e9..6d87643f 100644 --- a/src/main/java/com/conveyal/r5/analyst/scenario/AddTrips.java +++ b/src/main/java/com/conveyal/r5/analyst/scenario/AddTrips.java @@ -64,6 +64,9 @@ public class AddTrips extends Modification { /** A list of the internal integer IDs for the existing or newly created stops. */ private TIntList intStopIds; + /** Set a direction ID for this modification */ + public int directionId = 0; + /** unique ID for transitive */ private String routeId = UUID.randomUUID().toString(); @@ -106,7 +109,11 @@ public boolean apply (TransportNetwork network) { // No protective copy is made here because TransportNetwork.scenarioCopy already deep-copies certain collections. transitLayer.routes.add(info); - generatePattern(transitLayer, 0); + if (this.directionId != 0 && this.directionId != 1) { + throw new IllegalArgumentException("Direction must be 0/1"); + } + + generatePattern(transitLayer, this.directionId); if (bidirectional) { // We want to call generatePattern again, but with all stops and stoptimes reversed. // Reverse the intStopIds in place. The string stopIds should not be used anymore at this point. @@ -123,7 +130,7 @@ public boolean apply (TransportNetwork network) { dwellList.reverse(); ptt.dwellTimes = dwellList.toArray(); } - generatePattern(transitLayer, 1); + generatePattern(transitLayer, this.directionId == 0 ? 1 : 0); // other direction ID for bidirection route } return false; } @@ -147,6 +154,8 @@ private void generatePattern (TransitLayer transitLayer, int directionId) { pattern.tripSchedules.sort(Comparator.comparing(ts -> ts.departures[0])); pattern.routeIndex = this.routeIndex; pattern.routeId = this.routeId; + // We use the directionId method parameter rather than this.directionId. This allows two patterns to be created with opposite directionIds when bidirectional=true. + pattern.directionId = directionId; transitLayer.tripPatterns.add(pattern); } diff --git a/src/main/java/com/conveyal/r5/analyst/scenario/IndexedPolygonCollection.java b/src/main/java/com/conveyal/r5/analyst/scenario/IndexedPolygonCollection.java index d95f58ca..0e82bb54 100644 --- a/src/main/java/com/conveyal/r5/analyst/scenario/IndexedPolygonCollection.java +++ b/src/main/java/com/conveyal/r5/analyst/scenario/IndexedPolygonCollection.java @@ -1,7 +1,7 @@ package com.conveyal.r5.analyst.scenario; import com.conveyal.r5.analyst.FileCategory; -import com.conveyal.r5.analyst.cluster.AnalystWorker; +import com.conveyal.r5.analyst.cluster.AnalysisWorker; import org.geotools.feature.FeatureCollection; import org.geotools.feature.FeatureIterator; import org.geotools.geojson.feature.FeatureJSON; @@ -104,7 +104,7 @@ public IndexedPolygonCollection ( } public void loadFromS3GeoJson() throws Exception { - InputStream s3InputStream = AnalystWorker.filePersistence.getData(FileCategory.POLYGON, polygonLayer); + InputStream s3InputStream = AnalysisWorker.filePersistence.getData(FileCategory.POLYGON, polygonLayer); // To test on local files: //InputStream s3InputStream = new FileInputStream("/Users/abyrd/" + polygonLayer); if (polygonLayer.endsWith(".gz")) { diff --git a/src/main/java/com/conveyal/r5/analyst/scenario/RoadCongestion.java b/src/main/java/com/conveyal/r5/analyst/scenario/RoadCongestion.java index 8c456059..ada0069a 100644 --- a/src/main/java/com/conveyal/r5/analyst/scenario/RoadCongestion.java +++ b/src/main/java/com/conveyal/r5/analyst/scenario/RoadCongestion.java @@ -1,7 +1,7 @@ package com.conveyal.r5.analyst.scenario; import com.conveyal.r5.analyst.FileCategory; -import com.conveyal.r5.analyst.cluster.AnalystWorker; +import com.conveyal.r5.analyst.cluster.AnalysisWorker; import com.conveyal.r5.streets.EdgeStore; import com.conveyal.r5.transit.TransportNetwork; import com.conveyal.r5.util.ExceptionUtils; @@ -109,7 +109,7 @@ public boolean resolve (TransportNetwork network) { // this.features = polygonLayerCache.getPolygonFeatureCollection(this.polygonLayer); // Note: Newer JTS now has GeoJsonReader try { - InputStream s3InputStream = AnalystWorker.filePersistence.getData(FileCategory.POLYGON, polygonLayer); + InputStream s3InputStream = AnalysisWorker.filePersistence.getData(FileCategory.POLYGON, polygonLayer); // To test on local files: //InputStream s3InputStream = new FileInputStream("/Users/abyrd/" + polygonLayer); // TODO handle gzip decompression in FilePersistence base class. diff --git a/src/main/java/com/conveyal/r5/analyst/scenario/Scenario.java b/src/main/java/com/conveyal/r5/analyst/scenario/Scenario.java index 33b507bd..58480cc5 100644 --- a/src/main/java/com/conveyal/r5/analyst/scenario/Scenario.java +++ b/src/main/java/com/conveyal/r5/analyst/scenario/Scenario.java @@ -27,14 +27,28 @@ public class Scenario implements Serializable { /** * If this ID is non null, this scenario should be identical to all others with the same ID. This enables us to - * cache things like linked point sets and modified networks keyed on the scenario that has been applied. + * cache things like linked point sets and modified networks keyed on the scenario that has been applied. It also + * allows the scenario itself to be stored by the backend, then retrieved and cached by many regional workers. + * TODO Should the ID always be non-null? + * Should we make it final and initialize it in a constructor Scenario(modifications)? + * + * Note that these are not persistent database IDs that remain the same when the modifications composing the + * scenario are changed, as scenarios are not directly represented by database records. They are just the set of + * all modifications in a project with the same scenario index enabled. For both single point and regional + * analyses, this ID is always derived from the contents of the scenario in the manner of a hash, including a CRC + * of the modifications themselves. */ public String id; + /** + * By default we are now setting this to be the scenario name at the time of creation. + */ public String description = "no description provided"; public List modifications = Lists.newArrayList(); + // TODO We appear to only read this, never write it! + // Do we see "Scenario does not have feed checksums" on every analysis? /** Map from feed ID to feed CRC32 to ensure that we can't apply scenarios to the wrong feeds */ public Map feedChecksums; diff --git a/src/main/java/com/conveyal/r5/point_to_point/PointToPointRouterServer.java b/src/main/java/com/conveyal/r5/point_to_point/PointToPointRouterServer.java index f0818ed5..6dc06c77 100644 --- a/src/main/java/com/conveyal/r5/point_to_point/PointToPointRouterServer.java +++ b/src/main/java/com/conveyal/r5/point_to_point/PointToPointRouterServer.java @@ -1,5 +1,6 @@ package com.conveyal.r5.point_to_point; +import com.conveyal.r5.analyst.fare.ParetoServer; import com.conveyal.r5.api.GraphQlRequest; import com.conveyal.r5.api.util.BikeRentalStation; import com.conveyal.r5.api.util.LegMode; @@ -50,6 +51,7 @@ import static com.conveyal.r5.streets.VertexStore.floatingDegreesToFixed; import static spark.Spark.before; import static spark.Spark.get; +import static spark.Spark.post; import static spark.Spark.options; import static spark.Spark.port; import static spark.Spark.staticFileLocation; @@ -150,6 +152,7 @@ private static void run(TransportNetwork transportNetwork) { ObjectReader mapReader = mapper.reader(HashMap.class); staticFileLocation("debug-plan"); PointToPointQuery pointToPointQuery = new PointToPointQuery(transportNetwork); + ParetoServer paretoServer = new ParetoServer(transportNetwork); // add cors header before((req, res) -> res.header("Access-Control-Allow-Origin", "*")); @@ -946,6 +949,7 @@ private static void run(TransportNetwork transportNetwork) { }, JsonUtilities.objectMapper::writeValueAsString); + post("/pareto", paretoServer::handle); } /** diff --git a/src/main/java/com/conveyal/r5/profile/ExecutionTimer.java b/src/main/java/com/conveyal/r5/profile/ExecutionTimer.java new file mode 100644 index 00000000..e99da759 --- /dev/null +++ b/src/main/java/com/conveyal/r5/profile/ExecutionTimer.java @@ -0,0 +1,100 @@ +package com.conveyal.r5.profile; + +import com.google.common.base.Strings; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.util.ArrayList; +import java.util.List; + +import static com.google.common.base.Preconditions.checkState; + +/** + * Encapsulates the logic for timing execution, accumulating measurements of many separate operations, and logging the + * results. Each ExecutionTimer can have children, which are assumed to only be running when their parent is running. + * + * All times are tracked in nanoseconds. Several sources indicate that nanoTime() should always be used for timing + * execution rather than System.currentTimeMillis(). And some of the operations we're timing are significantly + * sub-millisecond in duration. (Arguably on large numbers of operations using msec would be fine because the number of + * times we cross a millisecond boundary would be proportional to the portion of a millisecond that operation took, but + * nanoTime() avoids the problem entirely.) + */ +public class ExecutionTimer { + + private static final Logger LOG = LoggerFactory.getLogger(ExecutionTimer.class); + + public final String name; + + private boolean running = false; + + private long startTimeNanos = 0; + + private long accumulatedDurationNanos = 0; + + private final List children = new ArrayList<>(); + + public ExecutionTimer (String name) { + this.name = name; + } + + public ExecutionTimer (ExecutionTimer parent, String name) { + this.name = name; + parent.children.add(this); + } + + public void start () { + checkState(!running, "Start can only be called on a stopped timer."); + startTimeNanos = System.nanoTime(); + running = true; + } + + public void stop () { + checkState(running, "Stop can only be called after start."); + long elapsed = System.nanoTime() - startTimeNanos; + accumulatedDurationNanos += elapsed; + running = false; + startTimeNanos = 0; + } + + public void timeExecution (Runnable runnable) { + this.start(); + runnable.run(); + this.stop(); + } + + public String getMessage () { + String description = running ? "[RUNNING]" : accumulatedDurationNanos / 1e9D + "s"; + return String.format("%s: %s", name, description); + } + + public void log (int indentLevel) { + String indent = Strings.repeat("- ", indentLevel); + LOG.debug(indent + this.getMessage()); + } + + public void logWithChildren () { + logWithChildren(0); + } + + public void logWithChildren (int indentLevel) { + log(indentLevel); + if (children.size() > 0) { + long otherTime = accumulatedDurationNanos; + for (ExecutionTimer child : children) { + otherTime -= child.accumulatedDurationNanos; + child.logWithChildren(indentLevel + 1); + } + if (otherTime > 0) { + ExecutionTimer otherTimer = new ExecutionTimer("other"); + otherTimer.accumulatedDurationNanos = otherTime; + otherTimer.log(indentLevel + 1); + } + } + } + + @Override + public String toString () { + return String.format("ExecutionTimer {%s}", getMessage()); + } + +} diff --git a/src/main/java/com/conveyal/r5/profile/FareDominatingList.java b/src/main/java/com/conveyal/r5/profile/FareDominatingList.java index d5e6fb4c..e7ea1333 100644 --- a/src/main/java/com/conveyal/r5/profile/FareDominatingList.java +++ b/src/main/java/com/conveyal/r5/profile/FareDominatingList.java @@ -25,6 +25,11 @@ public FareDominatingList(InRoutingFareCalculator fareCalculator, int maxFare, i /** * Return true if there is no way that a route with dominator as a prefix can yield a route that is slower or more * expensive than the same route with dominatee as a prefix. + * + * The logic here is described (with proofs) in Conway, M. W., & Stewart, A. F. (2019). Getting Charlie off the MTA: + * A multiobjective optimization method to account for cost constraints in public transit accessibility metrics. + * International Journal of Geographical Information Science, 33(9), 1759–1787. https://doi.org/10.1080/13658816.2019.1605075 + * available open-access at https://files.indicatrix.org/Conway-Stewart-2019-Charlie-Fare-Constraints.pdf */ private boolean betterOrEqual(McRaptorSuboptimalPathProfileRouter.McRaptorState dominator, McRaptorSuboptimalPathProfileRouter.McRaptorState dominatee) { // FIXME add check for nonnegative @@ -35,12 +40,14 @@ private boolean betterOrEqual(McRaptorSuboptimalPathProfileRouter.McRaptorState if (dominator.fare.cumulativeFarePaid <= dominateeConsumedValue) { // This route is as fast as the alternate route, and it costs no more than the fare paid for the other route // minus any transfer priviliges that the user gets from the other route that could be realized in the future. + // This is Theorem 3.1 from Conway and Stewart (2019) return true; } // if the out of pocket cost is the same or less and the transfer privilege is as good as or better than the // other transfer allowance (exact definition depends on the system, see javadoc), then there is no way that // dominatee could yield a better fare than dominator. + // This is Theorem 3.2 from Conway and Stewart (2019) if (dominator.fare.cumulativeFarePaid <= dominatee.fare.cumulativeFarePaid && dominator.fare.transferAllowance.atLeastAsGoodForAllFutureRedemptions(dominatee.fare.transferAllowance)) { return true; diff --git a/src/main/java/com/conveyal/r5/profile/FastRaptorWorker.java b/src/main/java/com/conveyal/r5/profile/FastRaptorWorker.java index c4d58b35..77b8accd 100644 --- a/src/main/java/com/conveyal/r5/profile/FastRaptorWorker.java +++ b/src/main/java/com/conveyal/r5/profile/FastRaptorWorker.java @@ -6,14 +6,16 @@ import com.conveyal.r5.transit.TransitLayer; import com.conveyal.r5.transit.TripPattern; import com.conveyal.r5.transit.TripSchedule; +import gnu.trove.iterator.TIntIterator; import gnu.trove.list.TIntList; -import gnu.trove.list.array.TIntArrayList; import gnu.trove.map.TIntIntMap; import org.slf4j.Logger; import org.slf4j.LoggerFactory; +import java.io.BufferedOutputStream; +import java.io.FileOutputStream; +import java.io.PrintWriter; import java.util.ArrayList; -import java.util.Arrays; import java.util.BitSet; import java.util.List; import java.util.stream.IntStream; @@ -22,6 +24,7 @@ import static com.conveyal.r5.profile.FastRaptorWorker.FrequencyBoardingMode.HALF_HEADWAY; import static com.conveyal.r5.profile.FastRaptorWorker.FrequencyBoardingMode.MONTE_CARLO; import static com.conveyal.r5.profile.FastRaptorWorker.FrequencyBoardingMode.UPPER_BOUND; +import static com.google.common.base.Preconditions.checkState; /** * FastRaptorWorker is faster than the old RaptorWorker and made to be more maintainable. @@ -45,6 +48,7 @@ * (generating randomized schedules). * * TODO rename to remove "fast" and revise above comments, there is only one worker now. + * Maybe just call it TransitRouter. But then there's also McRaptor. */ public class FastRaptorWorker { @@ -66,10 +70,8 @@ public class FastRaptorWorker { public static final int SECONDS_PER_MINUTE = 60; /** - * Step for departure times. Use caution when changing this as we use the functions - * request.getTimeWindowLengthMinutes and request.getMonteCarloDrawsPerMinute below which assume this value is 1 - * minute. The same functions are also used in BootstrappingTravelTimeReducer where we assume that their product is - * the number of iterations performed. + * Step for departure times. Use caution when changing this as the functions request.getTimeWindowLengthMinutes + * and request.getMonteCarloDrawsPerMinute below which assume this value is 1 minute. */ private static final int DEPARTURE_STEP_SEC = 60; @@ -91,21 +93,8 @@ public class FastRaptorWorker { */ public final int monteCarloDrawsPerMinute; - // Variables to track calculation time spent, all in nanoseconds (some of the operations we're timing are - // significantly submillisecond) although using ms would be fine because the number of times we cross - // a millisecond boundary would be proportional to the portion of a millisecond that operation took. - // TODO a Stopwatch class that can time arbitrarily named events with a TObjectIntMap. - - public long startClockTime; - public long timeInScheduledSearch; - public long timeInScheduledSearchTransit; - public long timeInScheduledSearchFrequencyBounds; - public long timeInScheduledSearchTransfers; - - public long timeInFrequencySearch; - public long timeInFrequencySearchFrequency; - public long timeInFrequencySearchScheduled; - public long timeInFrequencySearchTransfers; + /** Track the time spent in each part of the Raptor search. */ + public final RaptorTimer raptorTimer = new RaptorTimer(); /** The transit layer to route on. */ private final TransitLayer transit; @@ -116,39 +105,28 @@ public class FastRaptorWorker { /** The routing parameters. */ private final ProfileRequest request; - /** Frequency-based trip patterns running on a given day */ - private TripPattern[] runningFrequencyPatterns; - - /** Schedule-based trip patterns running on a given day */ - private TripPattern[] runningScheduledPatterns; - - /** Map from internal, filtered frequency pattern indices back to original pattern indices for frequency patterns */ - private int[] originalPatternIndexForFrequencyIndex; - - /** Map from internal, filtered pattern indices back to original pattern indices for scheduled patterns */ - private int[] originalPatternIndexForScheduledIndex; - - /** Array mapping from original pattern indices to the filtered frequency indices */ - private int[] frequencyIndexForOriginalPatternIndex; + /** The indexes of the trip patterns running on a given day with frequency-based trips of selected modes. */ + private final BitSet runningFrequencyPatterns = new BitSet(); - /** Array mapping from original pattern indices to the filtered scheduled indices */ - private int[] scheduledIndexForOriginalPatternIndex; + /** The indexes of the trip patterns running on a given day with scheduled trips of selected modes. */ + private final BitSet runningScheduledPatterns = new BitSet(); - private FrequencyRandomOffsets offsets; + /** Generates and stores departure time offsets for every frequency-based set of trips. */ + private final FrequencyRandomOffsets offsets; /** Services active on the date of the search */ private final BitSet servicesActive; /** * The state resulting from the scheduled search at a particular departure minute. - * This state is reused at each departure minute without re-initializng it (this is the range-raptor optimization). + * This state is reused at each departure minute without re-initializing it (this is the range-raptor optimization). * The randomized schedules at each departure minute are applied on top of this scheduled state. */ private final RaptorState[] scheduleState; /** * This should be either HALF_HEADWAY or MONTE_CARLO. - * The othe value UPPER_BOUND is only used within a sub-search of MONTE_CARLO. + * The other value UPPER_BOUND is only used within a sub-search of MONTE_CARLO. */ private final FrequencyBoardingMode boardingMode; @@ -189,104 +167,106 @@ public FastRaptorWorker (TransitLayer transitLayer, ProfileRequest request, TInt /** * For each iteration (minute + MC draw combination), return the minimum travel time to each transit stop in seconds. * Return value dimension order is [searchIteration][transitStopIndex] - * * TODO Create proper types for return values? */ public int[][] route () { - - startClockTime = System.nanoTime(); + raptorTimer.fullSearch.start(); prefilterPatterns(); - // Initialize result storage. // Results are one arrival time at each stop, for every raptor iteration. - int nIterations; + final int nStops = transit.getStopCount(); + final int nIterations; if (boardingMode == HALF_HEADWAY) { nIterations = nMinutes; LOG.info("Performing {} scheduled iterations using half-headway for frequency routes.", nMinutes); } else { nIterations = monteCarloDrawsPerMinute * nMinutes; - LOG.info("Performing {} scheduled iterations each with {} Monte Carlo draws for a total of {} iterations.", - nMinutes, monteCarloDrawsPerMinute, nIterations); + LOG.info( + "Performing {} scheduled iterations each with {} Monte Carlo draws for a total of {} iterations.", + nMinutes, monteCarloDrawsPerMinute, nIterations + ); } - int[][] arrivalTimesAtStopsPerIteration = new int[nIterations][]; + int[][] travelTimesToStopsPerIteration = new int[nIterations][]; if (retainPaths) pathsPerIteration = new ArrayList<>(); - int currentIteration = 0; - // The main outer loop iterates backward over all minutes in the departure times window. + // This main outer loop iterates backward over all minutes in the departure times window. + int currentIteration = 0; for (int departureTime = request.toTime - DEPARTURE_STEP_SEC, minute = nMinutes; departureTime >= request.fromTime; - departureTime -= DEPARTURE_STEP_SEC, minute--) { - + departureTime -= DEPARTURE_STEP_SEC, minute-- + ) { if (minute % 15 == 0) LOG.debug(" minute {}", minute); // Run the raptor search. For this particular departure time, we receive N arrays of arrival times at all // stops, one for each randomized schedule: resultsForMinute[randScheduleNumber][transitStop] - int[][] resultsForMinute = runRaptorForMinute(departureTime); - - // Bypass Java's "effectively final" nonsense. - // FIXME we could avoid this "final" weirdness by just using non-stream explicit loop syntax over the stops. - // TODO clarify identifiers and explain how results are being unrolled from minutes into 'iterations'. - final int finalDepartureTime = departureTime; - for (int[] arrivalTimesAtStops : resultsForMinute) { - // NB this copies the array, so we don't have issues with it being updated later - arrivalTimesAtStopsPerIteration[currentIteration++] = IntStream.of(arrivalTimesAtStops) - .map(r -> r != UNREACHED ? r - finalDepartureTime : r) - .toArray(); + int[][] resultsForDepartureMinute = runRaptorForDepartureMinute(departureTime); + // Iterate over the results for different Monte Carlo draws at this departure minute. + for (int[] arrivalTimesAtStops : resultsForDepartureMinute) { + // Make a protective copy of the arrival times, transforming them into travel times (durations). + checkState(arrivalTimesAtStops.length == nStops, "Result should contain one value per stop."); + int[] travelTimesToStops = new int[nStops]; + for (int s = 0; s < nStops; s++) { + int arrivalTime = arrivalTimesAtStops[s]; + travelTimesToStops[s] = (arrivalTime == UNREACHED) ? UNREACHED : arrivalTime - departureTime; + } + // Accumulate the duration-transformed Monte Carlo iterations for the current minute + // into one big flattened array representing all iterations at all minutes. + travelTimesToStopsPerIteration[currentIteration++] = travelTimesToStops; } } + checkState(currentIteration == nIterations, "Unexpected number of iterations."); + raptorTimer.fullSearch.stop(); + raptorTimer.log(); + // For debugging: + // dumpAllTimesToFile(travelTimesToStopsPerIteration, 45); + return travelTimesToStopsPerIteration; + } - LOG.debug("Search completed in {}s", (System.nanoTime() - startClockTime) / 1e9d); - LOG.debug("Scheduled/bounds search: {}s", timeInScheduledSearch / 1e9d); - LOG.debug(" - Scheduled search: {}s", timeInScheduledSearchTransit / 1e9d); - LOG.debug(" - Frequency upper bounds: {}s", timeInScheduledSearchFrequencyBounds / 1e9d); - LOG.debug(" - Transfers: {}s", timeInScheduledSearchTransfers / 1e9d); - LOG.debug("Frequency search: {}s", timeInFrequencySearch / 1e9d); - LOG.debug(" - Frequency component: {}s", timeInFrequencySearchFrequency / 1e9d); - LOG.debug(" - Resulting updates to scheduled component: {}s", timeInFrequencySearchScheduled / 1e9d); - LOG.debug(" - Transfers: {}s", timeInFrequencySearchTransfers / 1e9d); - - return arrivalTimesAtStopsPerIteration; + /** + * This method is intended for use in debugging. It will create a file containing the non-transfer travel times + * to every stop for every iteration. These times will be subjected to the maximum duration specified, and all + * times greater than that number (including UNREACHED) will be recorded as "OVER", to facilitate simple comparisons + * on the command line with diff. + */ + private void dumpAllTimesToFile(int[][] arrivalTimesAtStopsPerIteration, int maxDurationMinutes) { + try (PrintWriter pw = new PrintWriter(new BufferedOutputStream(new FileOutputStream("dump.csv")))) { + for (int i = 0; i < arrivalTimesAtStopsPerIteration.length; i++) { + int[] arrivalTimesForIteration = arrivalTimesAtStopsPerIteration[i]; + for (int s = 0; s < arrivalTimesForIteration.length; s++) { + int time = arrivalTimesForIteration[s]; + String timeStr = "OVER"; // Including UNREACHED + if (time < maxDurationMinutes * 60) { + timeStr = Integer.toString(time); + } + pw.printf("%d,%d,%s\n",i, s, timeStr); + } + } + } catch (Exception e) { + throw new RuntimeException(e); + } } - /** Prefilter the patterns to only ones that are running */ + /** + * Before routing, filter the set of patterns down to only the ones that are actually running on the search date. + * We can also filter down to only those modes enabled in the search request, because all trips in a pattern are + * defined to be on same route, and GTFS allows only one mode per route. + */ private void prefilterPatterns () { - TIntList frequencyPatterns = new TIntArrayList(); - TIntList scheduledPatterns = new TIntArrayList(); - frequencyIndexForOriginalPatternIndex = new int[transit.tripPatterns.size()]; - Arrays.fill(frequencyIndexForOriginalPatternIndex, -1); - scheduledIndexForOriginalPatternIndex = new int[transit.tripPatterns.size()]; - Arrays.fill(scheduledIndexForOriginalPatternIndex, -1); - - int patternIndex = -1; // first increment lands at 0 - int frequencyIndex = 0; - int scheduledIndex = 0; - for (TripPattern pattern : transit.tripPatterns) { - patternIndex++; + for (int patternIndex = 0; patternIndex < transit.tripPatterns.size(); patternIndex++) { + TripPattern pattern = transit.tripPatterns.get(patternIndex); RouteInfo routeInfo = transit.routes.get(pattern.routeIndex); TransitModes mode = TransitLayer.getTransitModes(routeInfo.route_type); if (pattern.servicesActive.intersects(servicesActive) && request.transitModes.contains(mode)) { - // at least one trip on this pattern is relevant, based on the profile request's date and modes + // At least one trip on this pattern is relevant, based on the profile request's date and modes. if (pattern.hasFrequencies) { - frequencyPatterns.add(patternIndex); - frequencyIndexForOriginalPatternIndex[patternIndex] = frequencyIndex++; + runningFrequencyPatterns.set(patternIndex); } - if (pattern.hasSchedules) { // NB not else b/c we still support combined frequency and schedule patterns. - scheduledPatterns.add(patternIndex); - scheduledIndexForOriginalPatternIndex[patternIndex] = scheduledIndex++; + // Schedule case is not an "else" clause because we support patterns with both frequency and schedule. + if (pattern.hasSchedules) { + runningScheduledPatterns.set(patternIndex); } } } - - originalPatternIndexForFrequencyIndex = frequencyPatterns.toArray(); - originalPatternIndexForScheduledIndex = scheduledPatterns.toArray(); - - runningFrequencyPatterns = IntStream.of(originalPatternIndexForFrequencyIndex) - .mapToObj(transit.tripPatterns::get).toArray(TripPattern[]::new); - runningScheduledPatterns = IntStream.of(originalPatternIndexForScheduledIndex) - .mapToObj(transit.tripPatterns::get).toArray(TripPattern[]::new); - - LOG.info("Prefiltering patterns based on date active reduced {} patterns to {} frequency and {} scheduled patterns", - transit.tripPatterns.size(), frequencyPatterns.size(), scheduledPatterns.size()); } /** @@ -296,10 +276,6 @@ private void prefilterPatterns () { private void advanceScheduledSearchToPreviousMinute (int nextMinuteDepartureTime) { for (RaptorState state : this.scheduleState) { state.setDepartureTime(nextMinuteDepartureTime); - // clear all touched stops to avoid constant reëxploration - state.bestStopsTouched.clear(); - state.nonTransferStopsTouched.clear(); - // TODO prune trips that are now longer than max lengths to avoid biasing averages } // add initial stops RaptorState initialState = scheduleState[0]; @@ -311,14 +287,14 @@ private void advanceScheduledSearchToPreviousMinute (int nextMinuteDepartureTime /** * Perform a RAPTOR search at one specific departure time (at one specific minute). A full range-RAPTOR search - * consists of many such searches at different departure times, typically working backward from the end of a time + * consists of many such searches at different departure times, working backward from the end of a time * window toward its beginning, and reusing state between searches as an optimization. * - * @param departureTime When this search departs. - * @return an array of length iterationsPerMinute, containing the arrival (clock) times at each stop for each - * iteration. + * @param departureTime When this search departs. + * @return an array of length iterationsPerMinute, containing the arrival times at each stop for each + * iteration (clock times as opposed to durations). */ - private int[][] runRaptorForMinute (int departureTime) { + private int[][] runRaptorForDepartureMinute (int departureTime) { advanceScheduledSearchToPreviousMinute(departureTime); int iterationsPerMinute = (boardingMode == MONTE_CARLO) ? monteCarloDrawsPerMinute : 1; @@ -331,20 +307,21 @@ private int[][] runRaptorForMinute (int departureTime) { // In this optimization, we re-use the arrival times found by searches that depart later, because the arrival // time at each location at time t + n is an upper bound on the arrival time departing at time t. if (transit.hasSchedules) { - long startTime = System.nanoTime(); + raptorTimer.scheduledSearch.start(); + // We always process the full number of rounds requested, i.e. we don't break out of the loop early when + // no improvement in travel times is achieved. That would complicate the code that handles the results. We + // do limit the patterns explored in each round to those passing through stops updated in the previous round. for (int round = 1; round <= request.maxRides; round++) { - // We always process the full number of rounds requested, since we have "transfer limiting". - // We don't optimize by breaking out of the loop early when no transfers lead to any improvement, - // because that is rare and complicates the code that handles the results. - // TODO explain what "transfer limiting" is. - - // Prevent finding crazy multi-transfer ways to get somewhere when there is a quicker way with fewer - // transfers. TODO explain this mechanism. - scheduleState[round].min(scheduleState[round - 1]); - - long scheduledStartTime = System.nanoTime(); + // Reuse state from the same round at a later minute, merging in any improvements from the previous + // round at this same departure minute. If there are no later minutes or previous rounds, all stops will + // be unreached except those reached by the initial street access search. This copies optimal times and + // paths from one round to the next; if at a given stop those values are not improved upon, several + // rounds in a row will contain identical state. The path reconstruction process must account for this. + scheduleState[round].minMergePrevious(); + + raptorTimer.scheduledSearchTransit.start(); doScheduledSearchForRound(scheduleState[round - 1], scheduleState[round]); - timeInScheduledSearchTransit += System.nanoTime() - scheduledStartTime; + raptorTimer.scheduledSearchTransit.stop(); // If there are frequency routes, we will be randomizing the offsets of those routes. // First perform a frequency search using worst-case boarding time to provide a tighter upper bound on @@ -352,30 +329,34 @@ private int[][] runRaptorForMinute (int departureTime) { // This is only helpful for Monte Carlo, not half-headway. Even in Monte Carlo mode, // perhaps we should only do it when iterationsPerMinute is high (2 or more?). if (transit.hasFrequencies && boardingMode == MONTE_CARLO) { - long frequencyStartTime = System.nanoTime(); + raptorTimer.scheduledSearchFrequencyBounds.start(); doFrequencySearchForRound(scheduleState[round - 1], scheduleState[round], UPPER_BOUND); - timeInScheduledSearchFrequencyBounds += System.nanoTime() - frequencyStartTime; + raptorTimer.scheduledSearchFrequencyBounds.stop(); } - long transferStartTime = System.nanoTime(); + raptorTimer.scheduledSearchTransfers.start(); doTransfers(scheduleState[round]); - timeInScheduledSearchTransfers += System.nanoTime() - transferStartTime; + raptorTimer.scheduledSearchTransfers.stop(); } - timeInScheduledSearch += System.nanoTime() - startTime; + raptorTimer.scheduledSearch.stop(); } - // now run frequency searches using randomized schedules for all frequency lines. We use the scheduled search - // and the worst-case boarding time of all frequency routes as an upper bound on the frequency search, so we are - // copying the arrival times from the just completed search. This is our key innovation, described in - // Conway, Byrd, and van der Linden 2017. + // Now run frequency searches using randomized schedules for all frequency lines. We use the scheduled search + // and the worst-case boarding wait for all frequency routes to establish an upper bound on arrival times for + // the frequency searches, so we are copying the arrival times from the just completed search. + // This is a key innovation, described in more detail in Conway, Byrd, and van der Linden 2017. if (transit.hasFrequencies) { - long startTime = System.nanoTime(); + raptorTimer.frequencySearch.start(); int[][] result = new int[iterationsPerMinute][]; - // Each iteration is a fresh Monte Carlo draw (randomization of frequency route offsets). - // In half-headway mode, only one iteration will happen with no randomization. + // In Monte Carlo mode, each iteration is a fresh randomization of frequency route offsets. + // In half-headway mode, only one iteration will happen and schedules will not be randomized. for (int iteration = 0; iteration < iterationsPerMinute; iteration++) { - // At each iteration, we make a copy of the upper bound state. - RaptorState[] frequencyState = Stream.of(scheduleState).map((s) -> s.copy()).toArray(RaptorState[]::new); + // For each new randomized schedule, we start with a fresh copy of the upper bound travel times. + RaptorState[] frequencyState = Stream.of(scheduleState) + .map(RaptorState::copy) + .toArray(RaptorState[]::new); + + // Recreate the chain of pointers between rounds for the freshly copied states. for (int i = 1; i < frequencyState.length; i++) { frequencyState[i].previous = frequencyState[i - 1]; } @@ -388,26 +369,25 @@ private int[][] runRaptorForMinute (int departureTime) { } for (int round = 1; round <= request.maxRides; round++) { - frequencyState[round].min(frequencyState[round - 1]); + frequencyState[round].minMergePrevious(); // Scheduled search. This is improving on travel times from stops touched by frequency routes or // combinations of frequency and scheduled routes. - long scheduledStart = System.nanoTime(); + raptorTimer.frequencySearchScheduled.start(); doScheduledSearchForRound(frequencyState[round - 1], frequencyState[round]); - timeInFrequencySearchScheduled += System.nanoTime() - scheduledStart; + raptorTimer.frequencySearchScheduled.stop(); - // frequency search: additionally use stops touched by scheduled search + // Frequency search: additionally use stops touched by scheduled search // okay to destructively modify last round frequency state, it will not be used after this - long frequencyStart = System.nanoTime(); + raptorTimer.frequencySearchFrequency.start(); frequencyState[round - 1].bestStopsTouched.or(scheduleState[round - 1].bestStopsTouched); frequencyState[round - 1].nonTransferStopsTouched.or(scheduleState[round - 1].nonTransferStopsTouched); doFrequencySearchForRound(frequencyState[round - 1], frequencyState[round], boardingMode); + raptorTimer.frequencySearchFrequency.stop(); - timeInFrequencySearchFrequency += System.nanoTime() - frequencyStart; - - long transferStart = System.nanoTime(); + raptorTimer.frequencySearchTransfers.start(); doTransfers(frequencyState[round]); - timeInFrequencySearchTransfers += System.nanoTime() - transferStart; + raptorTimer.frequencySearchTransfers.stop(); } // We are processing frequency routes, states are already a copy of the retained scheduled search state, // no need to make an additional protective copy. @@ -417,7 +397,7 @@ private int[][] runRaptorForMinute (int departureTime) { pathsPerIteration.add(pathToEachStop(finalRoundState)); } } - timeInFrequencySearch += System.nanoTime() - startTime; + raptorTimer.frequencySearch.stop(); return result; } else { // If there are no frequency trips, return the result of the scheduled search, but repeated as many times @@ -427,8 +407,11 @@ private int[][] runRaptorForMinute (int departureTime) { // FIXME on large networks with no frequency routes this seems extremely inefficient. // It may be somewhat less inefficient than it seems if we make arrays of references all to the same object. // TODO check whether we're actually hitting this code with iterationsPerMinute > 1 on scheduled networks. + // maybe we should even require that iterationsPerMinute == 1 for non-freq searches in an assertion. int[][] result = new int[iterationsPerMinute][]; RaptorState finalRoundState = scheduleState[request.maxRides]; + // DEBUG print out full path (all rounds) to one stop at one departure minute, when no frequency trips. + // System.out.printf("Departure time %d %s\n", departureTime, new Path(finalRoundState, 3164)); // This scheduleState is repeatedly modified as the outer loop progresses over departure minutes. // We have to be careful here that creating these paths does not modify the state, and makes // protective copies of any information we want to retain. @@ -465,11 +448,12 @@ private static Path[] pathToEachStop (RaptorState state) { * other kind of routes: the frequency-based routes. */ private void doScheduledSearchForRound(RaptorState inputState, RaptorState outputState) { - BitSet patternsTouched = getPatternsTouchedForStops(inputState, scheduledIndexForOriginalPatternIndex); - - for (int patternIndex = patternsTouched.nextSetBit(0); patternIndex >= 0; patternIndex = patternsTouched.nextSetBit(patternIndex + 1)) { - int originalPatternIndex = originalPatternIndexForScheduledIndex[patternIndex]; - TripPattern pattern = runningScheduledPatterns[patternIndex]; + BitSet patternsToExplore = patternsToExploreInNextRound(inputState, runningScheduledPatterns); + for (int patternIndex = patternsToExplore.nextSetBit(0); + patternIndex >= 0; + patternIndex = patternsToExplore.nextSetBit(patternIndex + 1) + ) { + TripPattern pattern = transit.tripPatterns.get(patternIndex); int onTrip = -1; int waitTime = 0; int boardTime = 0; @@ -489,21 +473,16 @@ private void doScheduledSearchForRound(RaptorState inputState, RaptorState outpu LOG.error("Components of travel time are larger than travel time!"); } - outputState.setTimeAtStop(stop, alightTime, originalPatternIndex, boardStop, waitTime, onVehicleTime, false); + outputState.setTimeAtStop(stop, alightTime, patternIndex, boardStop, waitTime, onVehicleTime, false); } - int sourcePatternIndex = inputState.previousStop[stop] == -1 ? - inputState.previousPatterns[stop] : - inputState.previousPatterns[inputState.previousStop[stop]]; - - // Don't attempt to board if this stop was not reached in the last round or if pick up is not allowed, - // and don't attempt to reboard the same pattern - if (inputState.bestStopsTouched.get(stop) && sourcePatternIndex != originalPatternIndex && pattern.pickups[stopPositionInPattern] != PickDropType.NONE) { + // Don't attempt to board if this stop was not reached in the last round or if pick up is not allowed. + if (inputState.bestStopsTouched.get(stop) && + pattern.pickups[stopPositionInPattern] != PickDropType.NONE + ) { int earliestBoardTime = inputState.bestTimes[stop] + MINIMUM_BOARD_WAIT_SEC; - - // only attempt to board if the stop was touched if (onTrip == -1) { - if (inputState.bestStopsTouched.get(stop)) { + if (inputState.bestStopsTouched.get(stop)) { // FIXME due to enclosing conditional this is always true. int candidateTripIndex = -1; EARLIEST_TRIP: for (TripSchedule candidateSchedule : pattern.tripSchedules) { @@ -526,7 +505,8 @@ private void doScheduledSearchForRound(RaptorState inputState, RaptorState outpu } } } else { - // check if we can back up to an earlier trip due to this stop being reached earlier + // We are already on a trip, but check if this stop was reached early enough to back up + // to an earlier trip on the same pattern. int bestTripIdx = onTrip; while (--bestTripIdx >= 0) { TripSchedule trip = pattern.tripSchedules.get(bestTripIdx); @@ -541,7 +521,8 @@ private void doScheduledSearchForRound(RaptorState inputState, RaptorState outpu waitTime = boardTime - inputState.bestTimes[stop]; boardStop = stop; } else { - // this trip arrives too early, break loop since they are sorted by departure time + // The trip under consideration arrives too early, + // stop searching since trips are sorted by departure time within a pattern. break; } } @@ -569,7 +550,7 @@ public enum FrequencyBoardingMode { * Do a frequency search. If computeDeterministicUpperBound is true, worst-case frequency boarding time will be used * so that the output of this function can be used in a range-RAPTOR search. Otherwise Monte Carlo schedules will be * used to improve upon the output of the range-RAPTOR bounds search. - * + * FIXME computeDeterministicUpperBound mentioned abve doesn't seem to exist * @param frequencyBoardingMode see comments on enum values. */ private void doFrequencySearchForRound( @@ -577,9 +558,12 @@ private void doFrequencySearchForRound( RaptorState outputState, FrequencyBoardingMode frequencyBoardingMode ) { - BitSet patternsTouched = getPatternsTouchedForStops(inputState, frequencyIndexForOriginalPatternIndex); - for (int patternIndex = patternsTouched.nextSetBit(0); patternIndex >= 0; patternIndex = patternsTouched.nextSetBit(patternIndex + 1)) { - TripPattern pattern = runningFrequencyPatterns[patternIndex]; + BitSet patternsToExplore = patternsToExploreInNextRound(inputState, runningFrequencyPatterns); + for (int patternIndex = patternsToExplore.nextSetBit(0); + patternIndex >= 0; + patternIndex = patternsToExplore.nextSetBit(patternIndex + 1) + ){ + TripPattern pattern = transit.tripPatterns.get(patternIndex); int tripScheduleIndex = -1; // first increment lands at 0 for (TripSchedule schedule : pattern.tripSchedules) { @@ -589,8 +573,6 @@ private void doFrequencySearchForRound( if (!servicesActive.get(schedule.serviceCode) || schedule.headwaySeconds == null) continue; for (int frequencyEntryIdx = 0; frequencyEntryIdx < schedule.headwaySeconds.length; frequencyEntryIdx++) { - int originalPatternIndex = originalPatternIndexForFrequencyIndex[patternIndex]; - int boardTime = -1; int boardStopPositionInPattern = -1; int waitTime = -1; @@ -604,7 +586,7 @@ private void doFrequencySearchForRound( int travelTime = schedule.arrivals[stopPositionInPattern] - schedule.departures[boardStopPositionInPattern]; int alightTime = boardTime + travelTime; int boardStop = pattern.stops[boardStopPositionInPattern]; - outputState.setTimeAtStop(stop, alightTime, originalPatternIndex, boardStop, waitTime, travelTime, false); + outputState.setTimeAtStop(stop, alightTime, patternIndex, boardStop, waitTime, travelTime, false); } // attempt to board if pick up is allowed @@ -619,7 +601,7 @@ private void doFrequencySearchForRound( final int newBoardingDepartureTimeAtStop; if (frequencyBoardingMode == MONTE_CARLO) { - int offset = offsets.offsets.get(originalPatternIndex)[tripScheduleIndex][frequencyEntryIdx]; + int offset = offsets.offsets.get(patternIndex)[tripScheduleIndex][frequencyEntryIdx]; newBoardingDepartureTimeAtStop = getRandomFrequencyDepartureTime( schedule, stopPositionInPattern, @@ -642,6 +624,7 @@ private void doFrequencySearchForRound( earliestBoardTime ); } else { + // TODO make half_headway the else clause throw new AssertionError("Unknown departure search method."); } int remainOnBoardDepartureTimeAtStop = Integer.MAX_VALUE; @@ -771,28 +754,33 @@ public static int getAverageCaseFrequencyDepartureTime ( } + /** + * After processing transit for a particular round, transfer from any stops that were reached by transit and update + * any stops where transferring is an improvement on the existing arrivals directly from transit. + * When applying transfers from a stop, we do not apply a "transfer" from the stop to itself. In a sense these + * trivial transfers are applied during transit routing: when the transfer arrival times are updated, the + * post-transfer times are also updated. + * The patterns to be explored in the next round are then determined by which stops were updated by either transit + * or transfer arrivals. + */ private void doTransfers (RaptorState state) { - // avoid integer casts in tight loop below + // Cast and multiplication factored out of the tight loop below to ensure they are not repeatedly evaluated. int walkSpeedMillimetersPerSecond = (int) (request.walkSpeed * 1000); int maxWalkMillimeters = walkSpeedMillimetersPerSecond * (request.maxWalkTime * SECONDS_PER_MINUTE); - for (int stop = state.nonTransferStopsTouched.nextSetBit(0); stop > -1; stop = state.nonTransferStopsTouched.nextSetBit(stop + 1)) { - // no need to consider loop transfers, since we don't mark patterns here any more - // loop transfers are already included by virtue of those stops having been reached + for (int stop = state.nonTransferStopsTouched.nextSetBit(0); + stop > -1; + stop = state.nonTransferStopsTouched.nextSetBit(stop + 1) + ){ TIntList transfersFromStop = transit.transfersForStop.get(stop); if (transfersFromStop != null) { for (int i = 0; i < transfersFromStop.size(); i += 2) { int targetStop = transfersFromStop.get(i); int distanceToTargetStopMillimeters = transfersFromStop.get(i + 1); if (distanceToTargetStopMillimeters < maxWalkMillimeters) { - // transfer length to stop is acceptable int walkTimeToTargetStopSeconds = distanceToTargetStopMillimeters / walkSpeedMillimetersPerSecond; + checkState(walkTimeToTargetStopSeconds >= 0, "Transfer walk time must be positive."); int timeAtTargetStop = state.bestNonTransferTimes[stop] + walkTimeToTargetStopSeconds; - - if (walkTimeToTargetStopSeconds < 0) { - LOG.error("Negative transfer time!!"); - } - state.setTimeAtStop(targetStop, timeAtTargetStop, -1, stop, 0, 0, true); } } @@ -801,41 +789,24 @@ private void doTransfers (RaptorState state) { } /** - * Get a list of the internal IDs of the patterns "touched" using the given index (frequency or scheduled) - * "touched" means they were reached in the last round, and the index maps from the original pattern index to the - * local index of the filtered patterns. + * Find all patterns that could lead to improvements in the next round after the given state's raptor round. + * Specifically, the patterns passing through all stops that were updated in the given state's round. + * The pattern indexes returned are limited to those in the supplied set. */ - private BitSet getPatternsTouchedForStops(RaptorState state, int[] index) { - BitSet patternsTouched = new BitSet(); - + private BitSet patternsToExploreInNextRound (RaptorState state, BitSet runningPatterns) { + BitSet patternsToExplore = new BitSet(); for (int stop = state.bestStopsTouched.nextSetBit(0); stop >= 0; stop = state.bestStopsTouched.nextSetBit(stop + 1) ) { - // copy stop to a new final variable to get around Java 8 "effectively final" nonsense - final int finalStop = stop; - transit.patternsForStop.get(stop).forEach(originalPattern -> { - int filteredPattern = index[originalPattern]; - - if (filteredPattern < 0) { - return true; // this pattern does not exist in the local subset of patterns, continue iteration - } - - int sourcePatternIndex = state.previousStop[finalStop] == -1 ? - state.previousPatterns[finalStop] : - state.previousPatterns[state.previousStop[finalStop]]; - - if (sourcePatternIndex != originalPattern) { - // don't re-explore the same pattern we used to reach this stop - // we forbid riding the same pattern twice in a row in the search code above, this will prevent - // us even having to loop over the stops in the pattern if potential board stops were only reached - // using this pattern. - patternsTouched.set(filteredPattern); + TIntIterator patternsAtStop = transit.patternsForStop.get(stop).iterator(); + while (patternsAtStop.hasNext()) { + int pattern = patternsAtStop.next(); + if (runningPatterns.get(pattern)) { + patternsToExplore.set(pattern); } - return true; // continue iteration - }); + } } - - return patternsTouched; + return patternsToExplore; } } diff --git a/src/main/java/com/conveyal/r5/profile/FrequencyRandomOffsets.java b/src/main/java/com/conveyal/r5/profile/FrequencyRandomOffsets.java index ed0b812b..02b3ae30 100644 --- a/src/main/java/com/conveyal/r5/profile/FrequencyRandomOffsets.java +++ b/src/main/java/com/conveyal/r5/profile/FrequencyRandomOffsets.java @@ -10,10 +10,13 @@ import java.util.Arrays; -/** - * Stores random offsets for frequency trips. - * This is not in RaptorWorkerData as RaptorWorkerData may be shared between threads. - */ + /** + * Generates and stores departure time offsets for every frequency-based set of trips. + * This holds only one set of offsets at a time. It is re-randomized before each Monte Carlo iteration. + * Therefore we have no memory of exactly which offsets were used in a particular Monte Carlo search. + * It may be preferable to work with reproducible low-discrepancy sets instead of simple random samples, in which case + * we'd need to make alternate implementations that pre-generate the entire set or use deterministic seeded generators. + */ public class FrequencyRandomOffsets { /** map from trip pattern index to a list of offsets for trip i and frequency entry j on that pattern */ public final TIntObjectMap offsets = new TIntObjectHashMap<>(); diff --git a/src/main/java/com/conveyal/r5/profile/McRaptorSuboptimalPathProfileRouter.java b/src/main/java/com/conveyal/r5/profile/McRaptorSuboptimalPathProfileRouter.java index 83bbbb21..181a8a84 100644 --- a/src/main/java/com/conveyal/r5/profile/McRaptorSuboptimalPathProfileRouter.java +++ b/src/main/java/com/conveyal/r5/profile/McRaptorSuboptimalPathProfileRouter.java @@ -76,9 +76,33 @@ public class McRaptorSuboptimalPathProfileRouter { /** In order to properly do target pruning we store the best times at each target _by access mode_, so car trips don't quash walk trips */ private TObjectIntMap bestTimesAtTargetByAccessMode = new TObjectIntHashMap<>(4, 0.95f, Integer.MAX_VALUE); + /** if saveFinalStates is true, contains the final states for every departure time */ + public TIntObjectMap> finalStatesByDepartureTime = null; + + public final boolean saveFinalStates; + + /** backwards compatibility */ public McRaptorSuboptimalPathProfileRouter (TransportNetwork network, ProfileRequest req, Map accessTimes, Map egressTimes, IntFunction listSupplier, InRoutingFareCalculator.Collater collapseParetoSurfaceToTime) { + this(network, req, accessTimes, egressTimes, listSupplier, collapseParetoSurfaceToTime, false); + } + + /** + * + * @param network + * @param req + * @param accessTimes + * @param egressTimes + * @param listSupplier + * @param collapseParetoSurfaceToTime + * @param saveFinalStates if true, save the best states by departure time in the field finalStatesByDepartureTime. + * egressTimes must not be null in this case. + */ + public McRaptorSuboptimalPathProfileRouter (TransportNetwork network, ProfileRequest req, Map accessTimes, Map egressTimes, IntFunction listSupplier, + InRoutingFareCalculator.Collater collapseParetoSurfaceToTime, + boolean saveFinalStates) { this.network = network; this.request = req; this.accessTimes = accessTimes; @@ -90,6 +114,9 @@ public McRaptorSuboptimalPathProfileRouter (TransportNetwork network, ProfileReq this.patternsNearDestination = new BitSet(network.transitLayer.tripPatterns.size()); this.servicesActive = network.transitLayer.getActiveServicesForDate(req.date); this.offsets = new FrequencyRandomOffsets(network.transitLayer); + this.saveFinalStates = saveFinalStates; + if (saveFinalStates) this.finalStatesByDepartureTime = new TIntObjectHashMap<>(); + // To make results repeatable from one run to the next, seed with some characteristic of the request itself, // e.g. (int) (request.fromLat * 1e9). Leaving out an argument will make it use a combination of time and // the instance's identity hash code, which makes it truly random for all practical purposes. @@ -100,6 +127,7 @@ public McRaptorSuboptimalPathProfileRouter (TransportNetwork network, ProfileReq public Collection route () { // Modeify does its own pre-computation of accessTimes, but Analysis does not + // TODO MWC - I think this can be removed now, I believe analysis now does pre-compute access times. if (accessTimes == null) computeAccessTimes(); long startTime = System.currentTimeMillis(); @@ -175,8 +203,11 @@ public Collection route () { // TODO this means we wind up with some duplicated states. if (egressTimes != null) { // In a PointToPointQuery (for Modeify), egressTimes will already be computed - codominatingStatesToBeReturned.addAll(doPropagationToDestination(finalDepartureTime)); + Collection states = doPropagationToDestination(finalDepartureTime); + codominatingStatesToBeReturned.addAll(states); + if (saveFinalStates) finalStatesByDepartureTime.put(departureTime, states); } + if (collapseParetoSurfaceToTime != null) { collateTravelTimes(departureTime); } @@ -313,7 +344,7 @@ private boolean doOneRound () { } // Perform this check here so we don't needlessly loop over states at a stop that are only created by - // getting off this pattern. This optimization may limit the usefulness of R5 for a strict Class B + // getting off this pattern. This optimization may limit the usefulness of R5 for a strict Class B // (touch all stations) Subway Challenge attempt (http://www.gricer.com/anysrc/anysrc.html). boolean stopReachedViaDifferentPattern = bestStatesBeforeRound.containsKey(stop); diff --git a/src/main/java/com/conveyal/r5/profile/Path.java b/src/main/java/com/conveyal/r5/profile/Path.java index d96ae9f0..e26e80da 100644 --- a/src/main/java/com/conveyal/r5/profile/Path.java +++ b/src/main/java/com/conveyal/r5/profile/Path.java @@ -10,8 +10,11 @@ import java.util.Arrays; +import static com.google.common.base.Preconditions.checkState; + /** - * Class used to represent transit paths in Browsochrones and Modeify. + * Class used to represent transit paths for display to end users (and debugging). + * It is a group of parallel arrays, with each position in the arrays representing a leg in the trip. */ public class Path { @@ -29,11 +32,10 @@ public class Path { public final int length; /** - * Scan over a raptor state and extract the path leading up to that state. + * Extract the path leading up to a specified stop in a given raptor state. */ public Path(RaptorState state, int stop) { - // trace the path back from this RaptorState - int previousPattern; + TIntList patterns = new TIntArrayList(); TIntList boardStops = new TIntArrayList(); TIntList alightStops = new TIntArrayList(); @@ -41,19 +43,16 @@ public Path(RaptorState state, int stop) { TIntList alightTimes = new TIntArrayList(); while (state.previous != null) { - // find the fewest-transfers trip that is still optimal in terms of travel time + // We copy the state at each stop from one round to the next. If a stop is not updated in a particular + // round, the information about how it was reached optimally will be found in a previous round. + // Step back through the rounds until we find a round where this stop was updated. if (state.previous.bestNonTransferTimes[stop] == state.bestNonTransferTimes[stop]) { state = state.previous; continue; } - - if (state.previous.bestNonTransferTimes[stop] < state.bestNonTransferTimes[stop]) { - LOG.error("Previous round has lower weight at stop {}, this implies a bug!", stop); - } - - previousPattern = state.previousPatterns[stop]; - - patterns.add(previousPattern); + checkState(state.previous.bestNonTransferTimes[stop] >= state.bestNonTransferTimes[stop], + "Earlier raptor rounds must have later arrival times at a given stop."); + patterns.add(state.previousPatterns[stop]); alightStops.add(stop); times.add(state.bestTimes[stop]); alightTimes.add(state.bestNonTransferTimes[stop]); @@ -168,12 +167,26 @@ public int hashCode() { /** * Gets tripPattern at provided pathIndex - * @param transitLayer - * @param pathIndex - * @return */ public TripPattern getPattern(TransitLayer transitLayer, int pathIndex) { return transitLayer.tripPatterns.get(this.patterns[pathIndex]); } + @Override + public String toString () { + var builder = new StringBuilder(); + builder.append("Path:\n"); + for (int i = 0; i < length; i++) { + builder.append(" from "); + builder.append(boardStops[i]); + builder.append(" to "); + builder.append(alightStops[i]); + builder.append(" riding "); + builder.append(patterns[i]); + builder.append(" alighting time "); + builder.append(alightTimes[i]); + builder.append("\n"); + } + return builder.toString(); + } } diff --git a/src/main/java/com/conveyal/r5/profile/PerTargetPropagater.java b/src/main/java/com/conveyal/r5/profile/PerTargetPropagater.java index 79f891b3..fbfcf097 100644 --- a/src/main/java/com/conveyal/r5/profile/PerTargetPropagater.java +++ b/src/main/java/com/conveyal/r5/profile/PerTargetPropagater.java @@ -4,7 +4,7 @@ import com.conveyal.r5.analyst.PathScorer; import com.conveyal.r5.analyst.PointSet; import com.conveyal.r5.analyst.TravelTimeReducer; -import com.conveyal.r5.analyst.cluster.AnalysisTask; +import com.conveyal.r5.analyst.cluster.AnalysisWorkerTask; import com.conveyal.r5.analyst.cluster.PathWriter; import com.conveyal.r5.analyst.cluster.RegionalTask; import com.conveyal.r5.streets.EgressCostTable; @@ -39,11 +39,14 @@ public class PerTargetPropagater { private static final Logger LOG = LoggerFactory.getLogger(PerTargetPropagater.class); + public static final int SECONDS_PER_MINUTE = 60; + public static final int MM_PER_METER = 1000; + /** - * The maximum travel time we will record and report. To limit calculation time and avoid overflow places this - * many seconds from the origin are just considered unreachable. + * We will not record or report travel times for paths this long or longer. To limit calculation time and avoid + * overflow, places at least this many seconds from the origin are simply considered unreachable. */ - public int cutoffSeconds = 120 * SECONDS_PER_MINUTE; + public final int maxTravelTimeSeconds; /** The targets, not yet linked to the street network. */ private PointSet targets; @@ -90,9 +93,6 @@ public class PerTargetPropagater { */ private final boolean oneToOne; - public static final int SECONDS_PER_MINUTE = 60; - public static final int MM_PER_METER = 1000; - // STATE FIELDS WHICH ARE RESET WHEN PROCESSING EACH DESTINATION. // These track the characteristics of the best paths known to the target currently being processed. @@ -115,10 +115,11 @@ public PerTargetPropagater( PointSet targets, StreetLayer streetLayer, EnumSet modes, - AnalysisTask task, + AnalysisWorkerTask task, int[][] travelTimesToStopsForIteration, int[] nonTransitTravelTimesToTargets ) { + this.maxTravelTimeSeconds = task.maxTripDurationMinutes * SECONDS_PER_MINUTE; this.targets = targets; this.modes = modes; this.request = task; @@ -205,9 +206,10 @@ public OneOriginResult propagate () { if (calculateComponents) { // TODO Somehow report these in-vehicle, wait and walk breakdown values alongside the total travel time. - // TODO WalkTime should be calculated per-iteration, as it may not hold for some summary statistics that stat(total) = stat(in-vehicle) + stat(wait) + stat(walk). - // NOTE this is currently using only the fastest travel time. + // TODO WalkTime should be calculated per-iteration, as it may not hold for some summary statistics + // that stat(total) = stat(in-vehicle) + stat(wait) + stat(walk). // The perIterationTravelTimes are sorted as a side effect of the above travelTimeReducer call. + // NOTE this is currently using only the first (lowest) travel time. Set selectedPaths = pathScorer.getTopPaths(pathWriter.nPathsPerTarget, perIterationTravelTimes[0]); pathWriter.recordPathsForTarget(selectedPaths); } @@ -314,7 +316,7 @@ private void propagateTransit (int targetIndex, LinkedPointSet linkedTargets) { if (secondsFromStopToTarget < egressLegTimeLimitSeconds){ for (int iteration = 0; iteration < nIterations; iteration++) { int timeAtStop = travelTimesToStop[stop][iteration]; - if (timeAtStop > cutoffSeconds || timeAtStop > perIterationTravelTimes[iteration]) { + if (timeAtStop >= maxTravelTimeSeconds || timeAtStop >= perIterationTravelTimes[iteration]) { // Skip propagation if all resulting times will be greater than the cutoff and // cannot improve on the best known time at this iteration. Also avoids overflow. continue; @@ -344,7 +346,7 @@ private void propagateTransit (int targetIndex, LinkedPointSet linkedTargets) { } int timeAtTarget = timeAtStop + secondsFromStopToTarget; - if (timeAtTarget < cutoffSeconds && timeAtTarget < perIterationTravelTimes[iteration]) { + if (timeAtTarget < maxTravelTimeSeconds && timeAtTarget < perIterationTravelTimes[iteration]) { // To reach this target, alighting at this stop is faster than any previously checked stop. perIterationTravelTimes[iteration] = timeAtTarget; if (calculateComponents) { diff --git a/src/main/java/com/conveyal/r5/profile/ProfileRequest.java b/src/main/java/com/conveyal/r5/profile/ProfileRequest.java index 9b8e5758..e2931521 100644 --- a/src/main/java/com/conveyal/r5/profile/ProfileRequest.java +++ b/src/main/java/com/conveyal/r5/profile/ProfileRequest.java @@ -152,10 +152,12 @@ public class ProfileRequest implements Serializable, Cloneable { /** * The maximum duration of any trip found by this search. * Defaults to 2 hours, the highest accessibility cutoffs allowed by our UI (which computes accessibility itself). - * Will be lowered to the maximum requested cutoff in regional analyses, where cutoffs are known in advance. - * TODO it seems like this should be set on each request without relying on hard wired defaults + * Newer workers will ignore this value for regional tasks, because each worker task infers the maximum travel time + * that can affect results based on the highest cutoff and the shape of the distance decay function. + * For single-point tasks this default of 2 hours will generally be used, but a lower value could be specified when + * performing slow computations such as fare-limited accessibility. */ - public int maxTripDurationMinutes = 2 * 60; + public int maxTripDurationMinutes = 120; /** * The maximum number of rides, e.g. taking the L2 to the Red line to the Green line would be three rides. diff --git a/src/main/java/com/conveyal/r5/profile/RaptorState.java b/src/main/java/com/conveyal/r5/profile/RaptorState.java index 223e58e9..852e5b1b 100644 --- a/src/main/java/com/conveyal/r5/profile/RaptorState.java +++ b/src/main/java/com/conveyal/r5/profile/RaptorState.java @@ -6,82 +6,125 @@ import java.util.Arrays; import java.util.BitSet; +import static com.conveyal.r5.profile.FastRaptorWorker.UNREACHED; +import static com.google.common.base.Preconditions.checkArgument; +import static com.google.common.base.Preconditions.checkNotNull; +import static com.google.common.base.Preconditions.checkState; + /** - * Tracks the state of a RAPTOR search, specifically the best arrival times at each transit stop at the end of a - * particular round, along with associated data to reconstruct paths etc. + * The state for a single round of a RAPTOR search. + * This primarily consists of the best known arrival times at each transit stop for a given number of rides, along with + * associated data to reconstruct paths and efficiently proceed to the next round. * - * This is grouped into a separate class (rather than just having the fields in the raptor worker class) because we - * need to make copies of it when doing Monte Carlo frequency searches. While performing the range-raptor search, - * we keep performing raptor searches at different departure times, stepping back in time, but operating on the same - * set of states (one for each round). But after each one of those departure time searches, we want to run sub-searches - * with different randomly selected schedules (the Monte Carlo draws). We don't want those sub-searches to invalidate - * the states for the ongoing range-raptor search, so we make a protective copy. + * These fields are grouped into a separate class (rather than just having the fields in the raptor worker class) + * because we need to make copies of them when doing Monte Carlo frequency searches. While performing the range-raptor + * search, we keep performing raptor searches at different departure times, stepping back in time, but operating on the + * same set of states (one for each round). But after each one of those departure time searches, we want to run + * sub-searches with different randomly selected schedules (the Monte Carlo draws). We don't want those sub-searches to + * invalidate the states for the ongoing range-raptor search, so we make a protective copy. * - * Note that this represents the entire state of the RAPTOR search for a single round, rather than the state at - * a particular vertex (transit stop), as is the case with State objects in other search algorithms we have. + * Note that this represents the entire state of the RAPTOR search at all stops for a single round, rather than the + * state at a particular vertex (transit stop), as is the case with State objects in our street search algorithm. * - * @author mattwigway + * Within each round, transit is processed first, then transfers are processed. There are not separate transfer rounds. + * A single RaptorState represents everything that happened in a round, including riding transit vehicles and any + * possible transfers from those transit vehicles to other stops. */ public class RaptorState { + private static final Logger LOG = LoggerFactory.getLogger(RaptorState.class); - /** State for the previous round (one less transfer). */ + /** State for the previous round, representing travel with one less transfer at the same departure time. */ public RaptorState previous; - /** Departure time for the search producing this state. */ + /** + * Departure time for the search producing this state. + * This will be decremented at each new departure time when the state is reused in a range-raptor search. + */ public int departureTime; - /** Best times to reach each stop, whether via a transfer or via transit directly. */ + /** + * Best (earliest) clock time (not elapsed time) at which we can reach each stop, whether via a transfer or via + * transit directly. Note that within our rounds transit happens first, then transfers are applied. + */ public int[] bestTimes; - /** The best times for reaching stops via transit rather than via a transfer from another stop. - * Used to record paths, keep number of transfers and transfer walking distance within requested limits, etc. */ + /** + * Best (earliest) clock time (not elapsed time) at which we can reach each stop directly from a pattern serving + * that stop rather than via a transfer from another stop. Within a round, these times are built up first, + * then transfers are applied. + */ public int[] bestNonTransferTimes; - /** Cumulative transit wait time for the best path to each stop, parallel to bestNonTransferTimes. */ + /** + * Cumulative transit wait time for the best path to each stop, parallel to bestNonTransferTimes. + * This is "non-transfer" because it reflects arriving at this stop by transit. If you arrive at this stop by + * a transfer, the time breakdown is instead the one from the transfer source stop. + */ public int[] nonTransferWaitTime; - /** Cumulative in-vehicle travel time for the best path to each stop, parallel to bestNonTransferTimes. */ + /** + * Cumulative in-vehicle travel time for the best path to each stop, parallel to bestNonTransferTimes. + * This is "non-transfer" because it reflects arriving at this stop by transit. If you arrive at this stop by + * a transfer, the time breakdown is instead the one from the transfer source stop. + * TODO instead of accumulating these values couldn't we just derive them when building the paths? + * TODO could we return paths/times as a tree flowed into an array, with forward-pointers to nodes in the tree? + */ public int[] nonTransferInVehicleTravelTime; /** - * The previous pattern used to get to this stop, parallel to bestNonTransferTimes. - * When there is a transfer, bestNonTransferTimes will contain the time that the pattern in - * previousPatterns arrived, whereas bestTimes will contain the time the transfer arrived (these are kept separate - * to keep the router from blowing past the walk limit by stringing multiple transfers together). The previous pattern - * for the transfer can be found by looking up the stop at which the transfer originated in transferStop, and looking - * at the previous pattern at that stop. Transfers are done at the end of a round but do not have a separate round, - * so a single RaptorState represents everything that happened in a round, including riding transit vehicles and any - * possible transfers from those transit vehicles to other stops. + * The transit pattern used to achieve the travel times recorded for each stop in bestNonTransferTimes. + * When a transfer improves upon that time, bestNonTransferTimes will still contain the time that the pattern in + * previousPatterns arrived, but bestTimes will contain the time the transfer arrived and transferStop will show + * where the transfer originated. So the last pattern used from the perspective of a later round using the transfer + * is in previousPatterns[transferStop[stop]]. + * + * Stops that have never been reached by transit will have a value of -1. */ public int[] previousPatterns; - /** The stop the previous pattern was boarded at */ + /** + * For each stop, if the stop was reached by transit, the stop where the pattern (in previousPatterns) was boarded. + * If the stop is not (yet) reached by transit, the value is -1. Even if the stop is optimally reached by a + * transfer, this value may be set reflecting the optimal way to reach it by transit before transfers are applied. + */ public int[] previousStop; - /** If this stop is optimally reached via a transfer, the stop we transferred from */ + /** + * For each stop, if the stop is optimally reached via a transfer, the stop from which that transfer originates. + * If the stop is optimally reached by transit, or hasn't been reached at all, the value is -1. + */ public int[] transferStop; - /** Stops touched by transit search. This is used in an optimization to only check for transfers - * from stops that have been "touched" (i.e. updated with a lower time based on a direct egress rather than a - * transfer in this round) */ + /** + * Stops reached by transit in this round. This allows us to only make transfers from stops that have been + * updated with a lower time based on transit usage in this round, rather than transfers in a previous round. + * TODO this field is probably unnecessary if transit and post-transit transfers are processed separately. + */ public BitSet nonTransferStopsTouched; - /** Stops touched by transit or transfers. Similar to nonTransferStopsTouched, but used to flag what should be - * checked in the next round, rather than what should be checked when doing transfers at the end of this - * round.*/ + /** + * Stops that have been updated by either transit arrivals or transfers in this round. + * This determines which routes should be explored in the next round. + */ public BitSet bestStopsTouched; - /** Maximum duration of trips stored by this RaptorState */ + /** + * This RaptorState will only store information about trips shorter than this duration. Travel times at or above + * this limit will be treated as if the stop could not be reached at all. + */ public int maxDurationSeconds; - /** create a RaptorState for a network with a particular number of stops, and a given maximum duration */ + /** + * Create a RaptorState for a network with a particular number of stops, and a given maximum travel duration. + * Travel times to all stops are initialized to UNREACHED, which will be improved upon by the search process. + */ public RaptorState (int nStops, int maxDurationSeconds) { this.bestTimes = new int[nStops]; this.bestNonTransferTimes = new int[nStops]; - Arrays.fill(bestTimes, FastRaptorWorker.UNREACHED); - Arrays.fill(bestNonTransferTimes, FastRaptorWorker.UNREACHED); + Arrays.fill(bestTimes, UNREACHED); + Arrays.fill(bestNonTransferTimes, UNREACHED); this.previousPatterns = new int[nStops]; this.previousStop = new int[nStops]; @@ -98,7 +141,10 @@ public RaptorState (int nStops, int maxDurationSeconds) { } /** - * Copy constructor, does not copy touchedStops data (leaves it empty). + * Specialized copy constructor for making the next state in a series representing a series of rounds in a single + * raptor search. This makes a deep copy of all fields except the sets of touched stops (which are initialized to + * be empty) and the previous state pointer. + * FIXME only used via copy() method to initialize a frequency search - we should probably set previous to null. */ private RaptorState(RaptorState state) { this.bestTimes = Arrays.copyOf(state.bestTimes, state.bestTimes.length); @@ -119,86 +165,114 @@ private RaptorState(RaptorState state) { } /** - * Copy this raptor state to progress to the next round. - * Clears reachedThisRound so should be used only to progress to the next round. + * Makes a deep copy of this raptor state, clearing the sets of reached stops and setting the new state's previous + * pointer to this existing state. + * + * FIXME this seems designed for progressing to the next round, but is only used for starting frequency searches. + * it should probably set the previous pointer to null. */ public RaptorState copy () { return new RaptorState(this); } /** - * Set this state to the min values found in this state or the other passed in (used in Range RAPTOR). - * Since this is used to progress between rounds, does not copy stopsTouched data. + * Merge the other state into this one, keeping the element-wise minimum travel times. Travel time components and + * path information associated with these minimum elements is retained. This is useful for the range-raptor + * optimization, where rather than beginning a round from scratch, we are trying to improve upon an existing round + * from a search run at a later departure time. + * + * This is used to progress to a new search round, so it does not affect the sets of updated stops, which should be + * cleared at the beginning of each new round so as to track only newly updated stops. Those stop sets are currently + * cleared in advanceScheduledSearchToPreviousMinute but it could be clearer to also ensure they are empty here. + * + * Note that this effectively copies the full state at each stop from one round to the next. If a stop is not + * updated in a particular round, the information about how it was reached optimally remains a replica of data from + * a previous round. This can happen for several rounds in a row. To accurately retrace a path back through + * transfers and transit rides, one may need to step back more than one round at the same stop to find the round + * where the optimal value was established (see the Path constructor). */ - public void min (RaptorState other) { + public void minMergePrevious () { + checkNotNull(previous, "Merge may only be called on a state with a previous round."); + checkArgument(previous.departureTime == this.departureTime, + "Previous round should always have the same departure minute."); int nStops = this.bestTimes.length; for (int stop = 0; stop < nStops; stop++) { - // prefer times from other when breaking tie as other is earlier in RAPTOR search and thus has fewer transfers - if (other.bestTimes[stop] <= this.bestTimes[stop]) { - this.bestTimes[stop] = other.bestTimes[stop]; - this.transferStop[stop] = other.transferStop[stop]; + // When breaking a tie, prefer times from the previous round with fewer transfers. + if (previous.bestTimes[stop] <= this.bestTimes[stop]) { + this.bestTimes[stop] = previous.bestTimes[stop]; + this.transferStop[stop] = previous.transferStop[stop]; } - if (other.bestNonTransferTimes[stop] <= this.bestNonTransferTimes[stop]) { - this.bestNonTransferTimes[stop] = other.bestNonTransferTimes[stop]; - this.previousPatterns[stop] = other.previousPatterns[stop]; - this.previousStop[stop] = other.previousStop[stop]; - this.nonTransferInVehicleTravelTime[stop] = other.nonTransferInVehicleTravelTime[stop]; - // add in any additional wait at the beginning in the range raptor case. - this.nonTransferWaitTime[stop] = other.nonTransferWaitTime[stop] + (other.departureTime - this.departureTime); + if (previous.bestNonTransferTimes[stop] <= this.bestNonTransferTimes[stop]) { + this.bestNonTransferTimes[stop] = previous.bestNonTransferTimes[stop]; + this.previousPatterns[stop] = previous.previousPatterns[stop]; + this.previousStop[stop] = previous.previousStop[stop]; + this.nonTransferInVehicleTravelTime[stop] = previous.nonTransferInVehicleTravelTime[stop]; + this.nonTransferWaitTime[stop] = previous.nonTransferWaitTime[stop]; } } } /** - * Set the time at a transit stop iff it is optimal. This sets both the bestTime and the nonTransferTime + * Check a time against the best known times at a transit stop, and record the new time if it is optimal. + * This same method is used to handle both transit arrivals and transfers, according to the transfer parameter. + * When transfer is false, times can update both the bestNonTransferTime and the bestTime; when transfer is true, + * only bestTimes can be updated. * - * @param transfer if true, this was reached via transfer/initial walk - * @return if the time was optimal + * @param transfer if true, we are recording a time obtained via a transfer or the initial access leg in round 0 + * @return true if the new time was optimal and the state was updated, false if the existing values were better */ public boolean setTimeAtStop(int stop, int time, int fromPattern, int fromStop, int waitTime, int inVehicleTime, boolean transfer) { - if (time > departureTime + maxDurationSeconds) return false; - + // First check whether the supplied travel time exceeds the specified maximum for this search. + if (time >= departureTime + maxDurationSeconds) { + return false; + } + // Method return value: was the new time optimal, leading to a state update? boolean optimal = false; + + // If this is "not a transfer" it is a transit arrival. If it is better than any known transit arrival, + // update the non-transfer time and path information, then consider updating the bestTimes. + // We may want to consider splitting the post-transfer updating out into its own method to make this clearer. if (!transfer && time < bestNonTransferTimes[stop]) { bestNonTransferTimes[stop] = time; nonTransferStopsTouched.set(stop); previousPatterns[stop] = fromPattern; previousStop[stop] = fromStop; - // wait time is not stored after transfers, so copy from pre-transfer + // Carry the travel time components (wait and in-vehicle time) from the previous leg and increment them. int totalWaitTime, totalInVehicleTime; - if (previous == null) { // first round, there is no previous wait time or in vehicle time + // TODO how and when can this happen? Round zero contains only the access leg and has no transit. totalWaitTime = waitTime; totalInVehicleTime = inVehicleTime; } else { + // TODO it seems like this whole block and the assignment below can be condensed significantly. if (previous.transferStop[fromStop] != -1) { - // previous stop is optimally reached via a transfer, so grab the wait and in vehicle time from - // the stop we transferred from. Otherwise we'll be grabbing the wait time to get to the board stop - // on a vehicle, which may be impossible at this round or may simply take longer. + // The fromSop was optimally reached via a transfer at the end of the previous round. + // Get the wait and in-vehicle time from the source stop of that transfer. int preTransferStop = previous.transferStop[fromStop]; totalWaitTime = previous.nonTransferWaitTime[preTransferStop] + waitTime; totalInVehicleTime = previous.nonTransferInVehicleTravelTime[preTransferStop] + inVehicleTime; } else { - // the stop we boarded at was not the result of a transfer from another stop, grab the cumulative - // wait time from that stop + // The stop we boarded at was reached directly by transit in the previous round. totalWaitTime = previous.nonTransferWaitTime[fromStop] + waitTime; totalInVehicleTime = previous.nonTransferInVehicleTravelTime[fromStop] + inVehicleTime; } } - - if (totalInVehicleTime + totalWaitTime > time - departureTime) { - LOG.error("Wait and travel time greater than total time."); - } - nonTransferWaitTime[stop] = totalWaitTime; nonTransferInVehicleTravelTime[stop] = totalInVehicleTime; + + checkState(totalInVehicleTime + totalWaitTime <= (time - departureTime), + "Components of travel time are greater than total travel time."); + optimal = true; } - // nonTransferTimes upper bounds bestTimes so we don't need to update wait time and in-vehicle time here, if we - // enter this conditional it has already been updated. + // At a given stop, bestTimes is always less than or equal to bestNonTransferTimes. It will always be equal to + // the bestNonTransferTimes unless a transfer from some other stop yields an earlier time. + // If bestTimes is updated due to a transit arrival, the travel time components are already updated by the + // transit-handling block above. If it's due to a transfer, the travel time components were already recorded + // by an optimal arrival at the source station of the transfer. if (time < bestTimes[stop]) { bestTimes[stop] = time; bestStopsTouched.set(stop); @@ -213,7 +287,7 @@ public boolean setTimeAtStop(int stop, int time, int fromPattern, int fromStop, return optimal; } - /** Debug function: dump the path up to this state as a string */ + /** Debug function: dump the path to a particular stop as a String. */ public String dump (int stop) { Path p = new Path(this, stop); @@ -226,38 +300,58 @@ public String dump (int stop) { return sb.toString(); } - /** Do a deep copy of this RaptorState and all parent raptor states. */ - public RaptorState deepCopy() { - RaptorState state = this; - RaptorState ret = this.copy(); - RaptorState copy = ret; - - while (state.previous != null) { - copy.previous = state.previous.copy(); - copy.previous.previous = null; - state = state.previous; - copy = copy.previous; - } - - return ret; - } - + /** + * This is the core of the range-raptor optimization. We move the departure time back one or more minutes, + * reusing the existing results from the later minute. They are all still valid trips, you just have to wait a + * little longer to board them. Only when you move the departure time back far enough to catch an earlier vehicle + * will the downstream results change. This also clears the reached stops sets in preparation for a new round. + */ public void setDepartureTime(int departureTime) { int previousDepartureTime = this.departureTime; this.departureTime = departureTime; + if (previousDepartureTime == 0) { + // This is the first departure minute being examined, so all state should be UNREACHED or -1 and there is + // nothing to update. This only skips the process for the highest boarding minute, so it's a very minor + // optimization. But it prevents any misunderstandings about what will happen when "updating" an empty state. + // Alternatively, we could not call this method on the first round and use it only for decrementing + // departure time in later rounds. + return; + } + checkState(departureTime < previousDepartureTime, "Departure times may only be decremented."); - // remove trips that are now too long + // Remove trips that exceed the maximum trip duration when the rider departs earlier (due to more wait time). int maxClockTime = departureTime + maxDurationSeconds; + // TODO This whole loop seems unnecessary - in testing removing it does not change results since actual times + // and INF can both compare greater than a cutoff. In fact multi-cutoff depends on this being true. + // It could have some performance impact, though the updated stops set is reconstructed at each step. for (int i = 0; i < bestTimes.length; i++) { - if (bestTimes[i] > maxClockTime) bestTimes[i] = FastRaptorWorker.UNREACHED; - if (bestNonTransferTimes[i] > maxClockTime) bestNonTransferTimes[i] = FastRaptorWorker.UNREACHED; + if (bestTimes[i] >= maxClockTime) { + bestTimes[i] = UNREACHED; + transferStop[i] = -1; + } + if (bestNonTransferTimes[i] >= maxClockTime) { + bestNonTransferTimes[i] = UNREACHED; + // These were not being set before - they might not be necessary but at least it's clearer to set them. + previousPatterns[i] = -1; + previousStop[i] = -1; + } } - // handle updating wait + // Update waiting times for all remaining trips, to reflect additional waiting time at first boarding. + int additionalWaitSeconds = previousDepartureTime - departureTime; for (int stop = 0; stop < this.bestTimes.length; stop++) { if (this.previousPatterns[stop] > -1) { - this.nonTransferWaitTime[stop] += previousDepartureTime - departureTime; + this.nonTransferWaitTime[stop] += additionalWaitSeconds; + } else { + this.nonTransferWaitTime[stop] = 0; + this.nonTransferInVehicleTravelTime[stop] = 0; } } + + // We are reusing this state from one minute to the next. We must clear the touched stops sets before starting + // a new search, otherwise the set of stops and patterns to explore will reflect the previous search. + bestStopsTouched.clear(); + nonTransferStopsTouched.clear(); } + } diff --git a/src/main/java/com/conveyal/r5/profile/RaptorTimer.java b/src/main/java/com/conveyal/r5/profile/RaptorTimer.java new file mode 100644 index 00000000..e4b4504e --- /dev/null +++ b/src/main/java/com/conveyal/r5/profile/RaptorTimer.java @@ -0,0 +1,26 @@ +package com.conveyal.r5.profile; + +/** + * This groups together all the timers recording execution time of various steps of a range raptor search. + */ +public class RaptorTimer { + + public final ExecutionTimer fullSearch = new ExecutionTimer("Full range-Raptor search"); + + public final ExecutionTimer scheduledSearch = new ExecutionTimer(fullSearch, "Scheduled/bounds search"); + + public final ExecutionTimer scheduledSearchTransit = new ExecutionTimer(scheduledSearch, "Scheduled search"); + public final ExecutionTimer scheduledSearchFrequencyBounds = new ExecutionTimer(scheduledSearch, "Frequency upper bounds"); + public final ExecutionTimer scheduledSearchTransfers = new ExecutionTimer(scheduledSearch, "Transfers"); + + public final ExecutionTimer frequencySearch = new ExecutionTimer(fullSearch, "Frequency search"); + + public final ExecutionTimer frequencySearchFrequency = new ExecutionTimer(frequencySearch, "Frequency component"); + public final ExecutionTimer frequencySearchScheduled = new ExecutionTimer(frequencySearch, "Resulting updates to scheduled component"); + public final ExecutionTimer frequencySearchTransfers = new ExecutionTimer(frequencySearch, "Transfers"); + + public void log () { + fullSearch.logWithChildren(); + } + +} diff --git a/src/main/java/com/conveyal/r5/streets/StreetLayer.java b/src/main/java/com/conveyal/r5/streets/StreetLayer.java index 1e7c2627..65c7c7cf 100644 --- a/src/main/java/com/conveyal/r5/streets/StreetLayer.java +++ b/src/main/java/com/conveyal/r5/streets/StreetLayer.java @@ -288,7 +288,7 @@ void loadFromOsm (OSM osm, boolean removeIslands, boolean saveVertexIndex) { for (Map.Entry entry : osm.ways.entrySet()) { Way way = entry.getValue(); - if (way.hasTag("park_ride", "yes")) { + if (isParkAndRide(way)) { parkAndRideWays.add(way); } if (!isWayRoutable(way)) { @@ -333,9 +333,10 @@ void loadFromOsm (OSM osm, boolean removeIslands, boolean saveVertexIndex) { lts1, lts2, lts3, lts4, ltsUnknown); List parkAndRideNodes = new ArrayList<>(); - for (Node node : osm.nodes.values()) { - if (node.hasTag("park_ride", "yes")) parkAndRideNodes.add(node); + if (isParkAndRide(node)) { + parkAndRideNodes.add(node); + } } LOG.info("Done making street edges."); @@ -367,8 +368,9 @@ void loadFromOsm (OSM osm, boolean removeIslands, boolean saveVertexIndex) { } LOG.info("Made {} P+R vertices", numOfParkAndRides); - // create turn restrictions. + // Create turn restrictions from relations. // TODO transit splitting is going to mess this up + // TODO handle multipolygon relations that are park and rides (e.g. parking structures with holes) osm.relations.entrySet().stream().filter(e -> e.getValue().hasTag("type", "restriction")).forEach(e -> this.applyTurnRestriction(e.getKey(), e.getValue())); LOG.info("Created {} turn restrictions", turnRestrictions.size()); @@ -381,6 +383,11 @@ void loadFromOsm (OSM osm, boolean removeIslands, boolean saveVertexIndex) { osm = null; } + private boolean isParkAndRide (OSMEntity entity) { + String prValue = entity.getTag("park_ride"); + return prValue != null && ! prValue.equalsIgnoreCase("NO"); + } + /** * TODO Javadoc. What is this for? */ diff --git a/src/main/resources/fares/nyc/lirr/README.txt b/src/main/resources/fares/nyc/lirr/README.txt new file mode 100644 index 00000000..8fc5c5aa --- /dev/null +++ b/src/main/resources/fares/nyc/lirr/README.txt @@ -0,0 +1,7 @@ +# LIRR Fares + +This directory contains fare information for the LIRR, used to construct LIRRTransferAllowances for the NYCInRoutingFareCalculator. + +- lirr_zonal_fares.csv contains the fares for zone-to-zone journeys that do not require a change in direction. +- via_fares.csv contains the fares for station-to-station journeys that do require a change in direction, but where LIRR will sell you a special "via" ticket. +- descendants.csv contains all the stations that can be reached from a given station using only inbound or outbound trains, and is used to determin transfer allowances since we assume that same-direction transfers are free. diff --git a/src/main/resources/fares/nyc/lirr/descendants.csv b/src/main/resources/fares/nyc/lirr/descendants.csv new file mode 100644 index 00000000..b72036c5 --- /dev/null +++ b/src/main/resources/fares/nyc/lirr/descendants.csv @@ -0,0 +1,124 @@ 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+lirr153,I,I,,,,,I,,,,I,I,I,I,,,,,I,I,O,,,,I,,,,,,,,I,,,,I,,,,,,I,,I,,,,,,,O,,,I,,,,,,,,,,,O,,,O,,I,,I,I,,,,,,,,,,,,,,,O,,,,I,,,,,,,,,,I,I,,,,I,,,I,,,I,,,,,,,,, +lirr154,I,I,,,I,I,,,,,I,I,,,,,,,I,I,,,,,I,,,,I,,,,I,,,,I,,,,,,I,,I,,,,,,,,,,I,,,,I,,,I,,,,,,,,,,,,I,,,,,,,,,I,,,,,,,,,,I,,,,,,,,,,,,,,,I,,I,I,,,I,,,,I,,I,,, +lirr155,I,I,,,,,,,,,,I,,,,O,,,I,I,,O,,,I,I,,I,,,I,,,,,,,,,,,,I,,,,,,,,,,,,,,,I,,,I,,,,,,,,,,,I,,I,,,,,,,,,,,,,,,,,,,,,,,,I,,,,,,,,,,I,I,,I,,,,,,,,,,,, +lirr157,I,I,,I,,,,O,,,I,I,,I,,,I,,I,I,,,,I,I,I,,I,,,I,,I,,,,I,I,I,O,O,,I,,I,,,,,,O,,,,I,,,I,,I,I,,I,,O,,,O,,O,,I,I,I,I,,,,,,I,I,,,O,I,,O,,I,,O,I,,I,I,,,,,,I,I,,,,O,I,,,I,,,I,I,,,,,,,O, +lirr162,I,,,,,,,,,,,,,,,,,,,,,,,,,,I,,,,,,,,I,I,,,,,,,,,,,,,,,,,,O,,,,,,,,,,,,,,,,,,,,I,,,,,,,,,,I,,,I,,,,,,,I,,,,,,,,,,,I,,,,,,,I,,,,,,,,,I,,I +lirr163,I,I,,I,,,,O,,,I,I,,I,,,I,,I,I,,,,I,I,I,,I,,,I,,I,,,,I,I,I,O,O,,I,,I,,,,I,,,,,,I,,,I,,I,I,,I,,O,,,O,,I,,I,I,I,I,,,,,,I,I,,,O,I,,O,,I,,O,I,,I,I,,,,,,I,I,,,,O,I,,,I,,,I,I,,,,,,,O, 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+lirr198,I,I,,I,,,,O,,,I,I,,I,,,I,,I,I,,,,I,I,I,,I,,,I,,I,,,,I,I,I,I,O,,I,,I,,,,I,,I,,,,I,,,I,,I,I,,I,,O,,,,,I,,I,I,I,I,,,,,,I,I,,,O,I,,O,,I,,I,I,,I,I,,,,,,I,I,,,,O,I,,,I,,,I,I,,,,,,,O, +lirr202,I,I,,,,,I,,,,I,I,I,I,,,,,I,I,I,,,,I,,,,,,,,I,,,,I,,,,,,I,,I,I,,,,,,O,,,I,,,,,,,,,,,O,,,,,I,,I,I,,,,,,,,,,,,,,,O,,,,I,,,,,,,,,,I,I,,,,I,,,I,,,I,,,,,,,,, +lirr204,I,I,,I,,,,O,,,I,I,,I,,,I,,I,I,,,,I,I,I,,I,,,I,,I,,,,I,I,I,O,O,,I,,I,,,,I,,O,,,,I,,,I,,I,I,,I,,O,,,O,,,,I,I,I,I,,,,,,I,I,,,O,I,,O,,I,,O,I,,I,I,,,,,,I,I,,,,O,I,,,I,,,I,I,,,,,,,O, +lirr205,I,I,,,,,O,,,,I,I,O,I,,,,,I,I,O,,,,I,,,,,,,,I,,,,I,,,,,,I,,I,O,,,,,,O,,,I,,,,,,,,,,,O,,,O,,,,I,I,,,,,,,,,,,,,,,O,,,,I,,,,,,,,,,I,O,,,,I,,,I,,,I,,,,,,,,, +lirr211,I,I,,O,,,,O,,O,,I,,,O,O,O,O,I,I,,O,O,O,I,I,,I,,O,O,,,,,,,O,O,O,O,O,I,,,,,O,O,,O,,,,,,,I,,O,,,O,,O,,,O,,O,,,,I,O,O,O,O,,,O,O,,,O,O,,O,,O,,O,,,O,O,,O,O,,,O,,,,,O,I,O,,I,,,,O,O,O,,,,,O, 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+lirr2,I,,,,,,,,,,,,,,,,,,,,,,,,,,O,,,,,,,,I,O,,,,,,,,,,,,,,O,,,,O,,,,,,,,,,,,,,,,,,,,I,,,,,,,,,,,,,I,,,,,,,O,,,,,,,,,,,O,,,,,,,I,,,,,,,,,O,,I +lirr4,I,I,,I,,,,I,,,I,I,,I,,,I,,I,I,,,,I,I,I,,I,,,I,,I,,,,I,I,I,I,O,,I,,I,,,,I,,I,,,,I,,,I,,I,I,,I,,I,,,I,,I,,I,I,I,I,,,,,,I,I,,,,I,,I,,I,,I,I,,I,I,,,,,,I,I,,,,I,I,,,I,,,I,I,,,,,,,I, +lirr8,I,I,,O,,,,O,,,,I,,,,,O,,I,I,,,,O,I,I,,I,,,I,,,,,,,I,I,O,O,,I,,,,,,O,,O,,,,,,,I,,I,I,,I,,O,,,O,,O,,I,,I,I,,,,,,I,I,,,O,,,O,,I,,O,,,O,O,,,,,,O,,,,,O,I,,,I,,,,I,,,,,,,O, +lirr11,I,,,,,,,,,,,,,,,,,,,,,,,,,,O,,,,,,,,I,O,,,,,,,,,,,,,,O,,,,O,,,,,,,,,,,,,,,,,,,,I,,,,,,,,,,O,,,,,,,,,,O,,,,,,,,,,,O,,,,,,,I,,,,,,,,,O,,I +lirr13,I,I,,I,,,,I,,,I,I,,I,,,I,,I,I,,,,I,I,I,,I,,,I,,I,,,,I,I,I,I,O,,I,,I,,,,I,,I,,,,I,,,I,,I,I,,I,,I,,,I,,I,,I,I,I,I,,,,,,I,I,,,O,I,,,,I,,I,I,,I,I,,,,,,I,I,,,,O,I,,,I,,,I,I,,,,,,,I, +lirr14,I,I,,,,,I,,,,I,I,I,I,,,,,I,I,I,,,,I,,,,,,,,I,,,,I,,,,,,I,,I,I,,,,,,O,,,I,,,,,,,,,,,I,,,I,,I,,I,I,,,,,,,,,,,,,,,,,,,I,,,,,,,,,,I,I,,,,I,,,I,,,I,,,,,,,,, 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+lirr56,I,,,,,,,,,,,,,,,,,,,,,,,,,,O,,,,,,,,O,O,,,,,,,,,,,,,,O,,,,O,,,,,,,,,,,,,,,,,,,,I,,,,,,,,,,O,,,O,,,,,,,O,,,,,,,,,,,O,,,,,,,,,,,,,,,,O,,I +lirr59,I,I,O,,,,,,,,I,I,,I,,,,,I,I,,,,,I,,,,,,,O,I,O,,,I,,,,,,I,,I,,,,,,,,O,,I,O,O,,,,,,,O,,,,,,,,,I,I,,,,,O,O,,,,,,,,,,,I,,I,,,,O,,,O,,,I,,,O,,I,,,I,,,I,,,,,,,,, +lirr63,I,I,O,O,O,O,O,O,O,,I,I,O,O,,,O,,I,I,O,,,,I,,,,O,,,O,O,O,,,O,,,O,O,,I,O,O,O,O,,O,,O,O,O,,I,O,O,,O,,,O,,O,O,O,O,O,O,O,O,,O,I,,,,,O,O,,,O,,O,,,O,O,,O,O,I,,O,O,O,,,O,O,,O,O,,O,O,I,,O,I,,O,,,,,O,O,O,,O, +lirr64,I,I,,O,,,,O,,,,I,,,,,O,,I,I,,,,O,I,I,,I,,,I,,,,,,,O,O,O,O,,I,,,,,,O,,O,,,,,,,I,,I,I,,O,,O,,,O,,O,,I,,I,O,,,,,,I,O,,,O,O,,O,,O,,O,,,O,O,,,,,,O,,,,,O,I,,,I,,,,,,,,,,,O, +lirr65,I,I,,,,,,,,,,I,,,I,,,I,I,I,,,I,,I,I,,I,,,,,,,,,,,,,,,I,,,,,,,,,,,,,,,I,,,,,,,,,,,,,,I,,I,,,I,,,,,,,,,,,,,,,,,,,,,,I,,,,,,,,,I,,,I,,,,,,I,,,,,, +lirr66,I,I,,,,,,,,,,I,,,O,,,O,I,I,,,O,,I,I,,I,,,,,,,,,,,,,,,I,,,,,,,,,,,,,,,I,,,,,,,,,,,,,,I,,I,,,O,,,,,,,,,,,,,,,,,,,,,,O,,,,,,,,,I,,,I,,,,,O,,,,,,, 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a/src/main/resources/fares/nyc/lirr/lirr_stops_fare_zones.csv b/src/main/resources/fares/nyc/lirr/lirr_stops_fare_zones.csv new file mode 100644 index 00000000..ae4411ec --- /dev/null +++ b/src/main/resources/fares/nyc/lirr/lirr_stops_fare_zones.csv @@ -0,0 +1,126 @@ +stop_name,stop_id,fare_area +Albertson,lirr1,7 +Amagansett,lirr4,14 +Amityville,lirr8,9 +Atlantic Terminal,lirr241,91 +Auburndale,lirr2,3 +Babylon,lirr27,9 +Baldwin,lirr225,7 +Bay Shore,lirr26,10 +Bayside,lirr25,3 +Bellerose,lirr23,4 +Bellmore,lirr16,7 +Bellport,lirr21,12 +Belmont Park,lirr24,4 +Bethpage,lirr20,7 +Brentwood,lirr29,10 +Bridgehampton,lirr13,14 +Broadway,lirr11,3 +Carle Place,lirr39,7 +Cedarhurst,lirr32,4 +Central Islip,lirr33,10 +Centre Avenue,lirr31,7 +Cold Spring Harbor,lirr40,9 +Copiague,lirr38,9 +Country Life Press,lirr36,4 +Deer Park,lirr44,9 +Douglaston,lirr42,3 +East Hampton,lirr48,14 +East New York,lirr50,91 +East Rockaway,lirr51,7 +East Williston,lirr52,4 +Far Rockaway,lirr65,4 +Farmingdale,lirr59,7 +Floral Park,lirr63,4 +Flushing Main Street,lirr56,3 +Forest Hills,lirr55,1 +Freeport,lirr64,7 +Garden City,lirr68,4 +Gibson,lirr66,4 +Glen Cove,lirr67,7 +Glen Head,lirr71,7 +Glen Street,lirr76,7 +Great Neck,lirr72,4 +Great River,lirr74,10 +Greenlawn,lirr78,9 +Greenport,lirr73,14 +Greenvale,lirr77,7 +Hampton Bays,lirr83,14 +Hempstead,lirr84,4 +Hempstead Gardens,lirr85,4 +Hewlett,lirr94,4 +Hicksville,lirr92,7 +Hollis,lirr89,93 +Hunterspoint Avenue,lirr90,1 +Huntington,lirr91,9 +Inwood,lirr101,4 +Island Park,lirr99,7 +Islip,lirr100,10 +Jamaica,lirr102,93 +Kew Gardens,lirr107,1 +Kings Park,lirr111,10 +Lakeview,lirr124,4 +Laurelton,lirr122,93 +Lawrence,lirr114,4 +Lindenhurst,lirr117,9 +Little Neck,lirr120,3 +Locust Manor,lirr119,93 +Locust Valley,lirr123,7 +Long Beach,lirr113,7 +Long Island City,lirr118,1 +Lynbrook,lirr125,4 +Malverne,lirr142,4 +Manhasset,lirr131,4 +Massapequa,lirr136,7 +Massapequa Park,lirr135,7 +Mastic Shirley,lirr140,12 +Mattituck,lirr126,14 +Medford,lirr129,10 +Merillon Avenue,lirr127,4 +Merrick,lirr226,7 +Mets-Willets Point,lirr199,1 +Mineola,lirr132,4 +Montauk,lirr141,14 +Murray Hill,lirr130,3 +Nassau Boulevard,lirr149,4 +New Hyde Park,lirr152,4 +Northport,lirr153,9 +Nostrand Avenue,lirr148,91 +Oakdale,lirr157,10 +Oceanside,lirr155,7 +Oyster Bay,lirr154,7 +Patchogue,lirr163,10 +Penn Station,lirr237,1 +Pinelawn,lirr165,9 +Plandome,lirr162,4 +Port Jefferson,lirr164,10 +Port Washington,lirr171,4 +Queens Village,lirr175,93 +Riverhead,lirr176,14 +Rockville Centre,lirr183,7 +Ronkonkoma,lirr179,10 +Rosedale,lirr180,93 +Roslyn,lirr182,7 +Sayville,lirr204,10 +Sea Cliff,lirr185,7 +Seaford,lirr187,7 +Smithtown,lirr202,10 +Southampton,lirr191,14 +Southold,lirr190,14 +Speonk,lirr198,12 +St. Albans,lirr184,93 +St. James,lirr193,10 +Stewart Manor,lirr195,4 +Stony Brook,lirr14,10 +Syosset,lirr205,7 +Valley Stream,lirr211,4 +Wantagh,lirr215,7 +West Hempstead,lirr216,4 +Westbury,lirr213,7 +Westhampton,lirr233,14 +Westwood,lirr219,4 +Woodmere,lirr217,4 +Woodside,lirr214,1 +Wyandanch,lirr220,9 +Yaphank,lirr223,12 +Elmhurst,lirr_elmhurst,1 diff --git a/src/main/resources/fares/nyc/lirr/lirr_zonal_fares.csv b/src/main/resources/fares/nyc/lirr/lirr_zonal_fares.csv new file mode 100644 index 00000000..e510624a --- /dev/null +++ b/src/main/resources/fares/nyc/lirr/lirr_zonal_fares.csv @@ -0,0 +1,201 @@ +from_zone,peak,to_zone,amount +1,True,1,900 +1,True,3,1075 +1,True,4,1250 +1,True,7,1400 +1,True,9,1675 +1,True,10,1975 +1,True,12,2350 +1,True,14,2225 +1,False,1,650 +1,False,3,775 +1,False,4,925 +1,False,7,1025 +1,False,9,1200 +1,False,10,1425 +1,False,12,1700 +1,False,14,1525 +3,True,1,1075 +3,True,3,550 +3,True,4,825 +3,True,7,1000 +3,True,9,1225 +3,True,10,1525 +3,True,12,1475 +3,True,14,2600 +3,False,1,775 +3,False,3,400 +3,False,4,600 +3,False,7,725 +3,False,9,900 +3,False,10,1100 +3,False,12,1000 +3,False,14,1900 +4,True,1,1250 +4,True,3,825 +4,True,4,325 +4,True,7,325 +4,True,9,600 +4,True,10,750 +4,True,12,1125 +4,True,14,1775 +4,False,1,925 +4,False,3,600 +4,False,4,325 +4,False,7,325 +4,False,9,600 +4,False,10,750 +4,False,12,1125 +4,False,14,1775 +7,True,1,1400 +7,True,3,1000 +7,True,4,325 +7,True,7,325 +7,True,9,325 +7,True,10,600 +7,True,12,1000 +7,True,14,1650 +7,False,1,1025 +7,False,3,725 +7,False,4,325 +7,False,7,325 +7,False,9,325 +7,False,10,600 +7,False,12,1000 +7,False,14,1650 +9,True,1,1675 +9,True,3,1225 +9,True,4,600 +9,True,7,325 +9,True,9,325 +9,True,10,325 +9,True,12,750 +9,True,14,1350 +9,False,1,1200 +9,False,3,900 +9,False,4,600 +9,False,7,325 +9,False,9,325 +9,False,10,325 +9,False,12,750 +9,False,14,1350 +10,True,1,1975 +10,True,3,1525 +10,True,4,750 +10,True,7,600 +10,True,9,325 +10,True,10,325 +10,True,12,325 +10,True,14,950 +10,False,1,1425 +10,False,3,1100 +10,False,4,750 +10,False,7,600 +10,False,9,325 +10,False,10,325 +10,False,12,325 +10,False,14,950 +12,True,1,2350 +12,True,3,2025 +12,True,4,1125 +12,True,7,1000 +12,True,9,750 +12,True,10,325 +12,True,12,325 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+3,False,91,775 +4,True,91,1250 +4,False,91,925 +7,True,91,1400 +7,False,91,1025 +9,True,91,1675 +9,False,91,1200 +10,True,91,1975 +10,False,91,1425 +12,True,91,2350 +12,False,91,1700 +14,True,91,3050 +14,False,91,2225 +1,True,93,1075 +1,False,93,775 +3,True,93,550 +3,False,93,400 +4,True,93,825 +4,False,93,600 +7,True,93,1000 +7,False,93,725 +9,True,93,1225 +9,False,93,900 +10,True,93,1525 +10,False,93,1100 +12,True,93,2025 +12,False,93,1475 +14,True,93,2600 +14,False,93,1900 +91,False,91,500 +91,True,91,500 +91,False,93,500 +91,True,93,500 +93,False,91,500 +93,True,91,500 +93,False,93,400 +93,True,93,500 diff --git a/src/main/resources/fares/nyc/lirr/via_fares.csv b/src/main/resources/fares/nyc/lirr/via_fares.csv new file mode 100644 index 00000000..d09ebc8a --- /dev/null +++ b/src/main/resources/fares/nyc/lirr/via_fares.csv @@ -0,0 +1,25437 @@ +from_stop_id,to_stop_id,via_stop_id,peak,amount +lirr1,lirr4,lirr102,True,2975 +lirr1,lirr4,lirr132,True,1875 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+19,18,19,Glenwood,18,Yonkers,300,300 +11,14,11,Marble Hill,14,Spuyten Duyvil,300,300 +84,4,84,Mount Kisco,4,Harlem-125th St.,1750,1325 +61,100,61,Wakefield,100,HM Valley-Wingdale,1675,1675 +81,78,81,Pleasantville,78,Valhalla,300,300 +59,176,59,Woodlawn,176,Tenmile River,1800,1800 +622,24,622,Yankees-E153 St.,24,Ardsley-on-Hudson,425,425 +62,101,62,Mt Vernon West,101,Dover Plains,1525,1525 +54,97,54,Melrose,97,Patterson,1450,1450 +14,24,14,Spuyten Duyvil,24,Ardsley-on-Hudson,425,425 +114,111,114,Rye,111,Mamaroneck,375,375 +66,71,66,Tuckahoe,71,Scarsdale,300,300 +85,84,85,Bedford Hills,84,Mount Kisco,300,300 +97,58,97,Patterson,58,Williams Bridge,1450,1450 +49,18,49,New Hamburg,18,Yonkers,1300,1300 +89,54,89,Purdy's,54,Melrose,1150,1150 +55,61,55,Tremont,61,Wakefield,300,300 +1,90,1,Grand Central,90,Croton Falls,2000,1500 +18,30,18,Yonkers,30,Scarborough,500,500 +59,68,59,Woodlawn,68,Crestwood,300,300 +30,4,30,Scarborough,4,Harlem-125th St.,1475,1125 +176,64,176,Tenmile River,64,Fleetwood,1600,1600 +80,90,80,Hawthorne,90,Croton Falls,675,675 +25,11,25,Irvington,11,Marble Hill,425,425 +622,1,622,Yankees-E153 St.,1,Grand Central,975,725 +10,31,10,University Heights,31,Ossining,575,575 +176,100,176,Tenmile River,100,HM Valley-Wingdale,300,300 +62,78,62,Mt Vernon West,78,Valhalla,500,500 +81,91,81,Pleasantville,91,Brewster,675,675 +54,74,54,Melrose,74,White Plains,425,425 +14,1,14,Spuyten Duyvil,1,Grand Central,975,725 +622,37,622,Yankees-E153 St.,37,Cortlandt,800,800 +85,61,85,Bedford Hills,61,Wakefield,800,800 +90,176,90,Croton Falls,176,Tenmile River,750,750 +14,37,14,Spuyten Duyvil,37,Cortlandt,800,800 +66,84,66,Tuckahoe,84,Mount Kisco,725,725 +99,81,99,Appalachian Trail,81,Pleasantville,825,825 +78,58,78,Valhalla,58,Williams Bridge,575,575 +65,88,65,Bronxville,88,Goldens Bridge,725,725 +76,97,76,North White Plains,97,Patterson,1150,1150 +29,22,29,Philipse Manor,22,Hastings-on-Hudson,300,300 +40,31,40,Manitou,31,Ossining,675,675 +11,4,11,Marble Hill,4,Harlem-125th St.,975,725 +112,56,112,Harrison,56,Fordham,425,425 +58,85,58,Williams Bridge,85,Bedford Hills,800,800 +61,90,61,Wakefield,90,Croton Falls,1150,1150 +62,55,62,Mt Vernon West,55,Tremont,300,300 +81,68,81,Pleasantville,68,Crestwood,500,500 +25,24,25,Irvington,24,Ardsley-on-Hudson,300,300 +622,14,622,Yankees-E153 St.,14,Spuyten Duyvil,300,300 +62,91,62,Mt Vernon West,91,Brewster,875,875 +22,18,22,Hastings-on-Hudson,18,Yonkers,300,300 +74,65,74,White Plains,65,Bronxville,300,300 +66,61,66,Tuckahoe,61,Wakefield,300,300 +4,86,4,Harlem-125th St.,86,Katonah,1750,1325 +64,100,64,Fleetwood,100,HM Valley-Wingdale,1525,1525 +17,25,17,Ludlow,25,Irvington,300,300 +62,176,62,Mt Vernon West,176,Tenmile River,1600,1600 +1,80,1,Grand Central,80,Hawthorne,1475,1125 +88,85,88,Goldens Bridge,85,Bedford Hills,300,300 +99,94,99,Appalachian Trail,94,Southeast,425,425 +100,59,100,HM Valley-Wingdale,59,Woodlawn,1675,1675 +65,101,65,Bronxville,101,Dover Plains,1525,1525 +57,97,57,Botanical Garden,97,Patterson,1450,1450 +58,62,58,Williams Bridge,62,Mt Vernon West,300,300 +176,54,176,Tenmile River,54,Melrose,1800,1800 +25,1,25,Irvington,1,Grand Central,1275,975 +58,98,58,Williams Bridge,98,Pawling,1450,1450 +110,108,110,Larchmont,108,New Rochelle,300,300 +62,68,62,Mt Vernon West,68,Crestwood,300,300 +54,64,54,Melrose,64,Fleetwood,300,300 +94,100,94,Southeast,100,HM Valley-Wingdale,650,650 +37,11,37,Cortlandt,11,Marble Hill,800,800 +16,37,16,Riverdale,37,Cortlandt,800,800 +1,57,1,Grand Central,57,Botanical Garden,975,725 +88,62,88,Goldens Bridge,62,Mt Vernon West,725,725 +106,110,106,Pelham,110,Larchmont,300,300 +99,71,99,Appalachian Trail,71,Scarsdale,1150,1150 +4,99,4,Harlem-125th St.,99,Appalachian Trail,2300,1750 +65,78,65,Bronxville,78,Valhalla,500,500 +57,74,57,Botanical Garden,74,White Plains,425,425 +68,83,68,Crestwood,83,Chappaqua,500,500 +88,98,88,Goldens Bridge,98,Pawling,675,675 +80,57,80,Hawthorne,57,Botanical Garden,575,575 +100,72,100,HM Valley-Wingdale,72,Hartsdale,1375,1375 +61,80,61,Wakefield,80,Hawthorne,575,575 +81,58,81,Pleasantville,58,Williams Bridge,575,575 +33,18,33,Croton-Harmon,18,Yonkers,500,500 +25,14,25,Irvington,14,Spuyten Duyvil,425,425 +622,4,622,Yankees-E153 St.,4,Harlem-125th St.,975,725 +43,31,43,Cold Spring,31,Ossining,675,675 +14,4,14,Spuyten Duyvil,4,Harlem-125th St.,975,725 +4,76,4,Harlem-125th St.,76,North White Plains,1275,975 +72,94,72,Hartsdale,94,Southeast,775,775 +64,90,64,Fleetwood,90,Croton Falls,875,875 +65,55,65,Bronxville,55,Tremont,300,300 +56,86,56,Fordham,86,Katonah,800,800 +76,64,76,North White Plains,64,Fleetwood,300,300 +9,11,9,Morris Heights,11,Marble Hill,300,300 +30,622,30,Scarborough,622,Yankees-E153 St.,575,575 +99,84,99,Appalachian Trail,84,Mount Kisco,675,675 +65,91,65,Bronxville,91,Brewster,875,875 +76,100,76,North White Plains,100,HM Valley-Wingdale,1375,1375 +29,25,29,Philipse Manor,25,Irvington,300,300 +61,57,61,Wakefield,57,Botanical Garden,300,300 +91,85,91,Brewster,85,Bedford Hills,300,300 +10,11,10,University Heights,11,Marble Hill,300,300 +83,81,83,Chappaqua,81,Pleasantville,300,300 +62,58,62,Mt Vernon West,58,Williams Bridge,300,300 +94,90,94,Southeast,90,Croton Falls,300,300 +72,71,72,Hartsdale,71,Scarsdale,300,300 +24,31,24,Ardsley-on-Hudson,31,Ossining,300,300 +16,27,16,Riverdale,27,Tarrytown,575,575 +99,61,99,Appalachian Trail,61,Wakefield,1450,1450 +65,68,65,Bronxville,68,Crestwood,300,300 +56,99,56,Fordham,99,Appalachian Trail,1450,1450 +57,64,57,Botanical Garden,64,Fleetwood,300,300 +9,24,9,Morris Heights,24,Ardsley-on-Hudson,425,425 +40,11,40,Manitou,11,Marble Hill,1150,1150 +79,88,79,Mount Pleasant,88,Goldens Bridge,300,300 +58,65,58,Williams Bridge,65,Bronxville,300,300 +30,46,30,Scarborough,46,Beacon,825,825 +98,101,98,Pawling,101,Dover Plains,425,425 +90,97,90,Croton Falls,97,Patterson,425,425 +91,62,91,Brewster,62,Mt Vernon West,875,875 +176,57,176,Tenmile River,57,Botanical Garden,1800,1800 +39,51,39,Peekskill,51,Poughkeepsie,825,825 +4,30,4,Harlem-125th St.,30,Scarborough,1475,1125 +91,98,91,Brewster,98,Pawling,425,425 +51,25,51,Poughkeepsie,25,Irvington,1375,1375 +177,101,177,Wassaic,101,Dover Plains,300,300 +23,43,23,Dobbs Ferry,43,Cold Spring,775,775 +84,59,84,Mount Kisco,59,Woodlawn,800,800 +83,94,83,Chappaqua,94,Southeast,675,675 +1,24,1,Grand Central,24,Ardsley-on-Hudson,1275,975 +4,66,4,Harlem-125th St.,66,Tuckahoe,1150,875 +72,84,72,Hartsdale,84,Mount Kisco,600,600 +64,80,64,Fleetwood,80,Hawthorne,500,500 +16,40,16,Riverdale,40,Manitou,1150,1150 +56,76,56,Fordham,76,North White Plains,425,425 +76,54,76,North White Plains,54,Melrose,425,425 +9,1,9,Morris Heights,1,Grand Central,975,725 +88,65,88,Goldens Bridge,65,Bronxville,725,725 +78,100,78,Valhalla,100,HM Valley-Wingdale,1200,1200 +98,78,98,Pawling,78,Valhalla,825,825 +90,74,90,Croton Falls,74,White Plains,775,775 +101,83,101,Dover Plains,83,Chappaqua,1200,1200 +79,101,79,Mount Pleasant,101,Dover Plains,1200,1200 +11,46,11,Marble Hill,46,Beacon,1450,1450 +71,97,71,Scarsdale,97,Patterson,1150,1150 +31,24,31,Ossining,24,Ardsley-on-Hudson,300,300 +23,20,23,Dobbs Ferry,20,Greystone,300,300 +177,78,177,Wassaic,78,Valhalla,1275,1275 +83,71,83,Chappaqua,71,Scarsdale,300,300 +94,80,94,Southeast,80,Hawthorne,675,675 +20,51,20,Greystone,51,Poughkeepsie,1525,1525 +72,61,72,Hartsdale,61,Wakefield,425,425 +4,43,4,Harlem-125th St.,43,Cold Spring,2000,1500 +64,57,64,Fleetwood,57,Botanical Garden,300,300 +84,72,84,Mount Kisco,72,Hartsdale,600,600 +89,1,89,Purdy's,1,Grand Central,2000,1500 +16,17,16,Riverdale,17,Ludlow,300,300 +1,37,1,Grand Central,37,Cortlandt,1750,1325 +86,81,86,Katonah,81,Pleasantville,300,300 +65,58,65,Bronxville,58,Williams Bridge,300,300 +56,89,56,Fordham,89,Purdy's,1150,1150 +57,54,57,Botanical Garden,54,Melrose,300,300 +97,90,97,Patterson,90,Croton Falls,425,425 +89,86,89,Purdy's,86,Katonah,300,300 +9,14,9,Morris Heights,14,Spuyten Duyvil,300,300 +27,31,27,Tarrytown,31,Ossining,300,300 +59,100,59,Woodlawn,100,HM Valley-Wingdale,1675,1675 +19,27,19,Glenwood,27,Tarrytown,500,500 +79,78,79,Mount Pleasant,78,Valhalla,300,300 +98,91,98,Pawling,91,Brewster,425,425 +71,74,71,Scarsdale,74,White Plains,300,300 +31,1,31,Ossining,1,Grand Central,1475,1125 +94,57,94,Southeast,57,Botanical Garden,1150,1150 +14,622,14,Spuyten Duyvil,622,Yankees-E153 St.,300,300 +112,111,112,Harrison,111,Mamaroneck,300,300 +4,20,4,Harlem-125th St.,20,Greystone,1150,875 +31,37,31,Ossining,37,Cortlandt,300,300 +177,91,177,Wassaic,91,Brewster,750,750 +23,33,23,Dobbs Ferry,33,Croton-Harmon,300,300 +83,84,83,Chappaqua,84,Mount Kisco,300,300 +43,11,43,Cold Spring,11,Marble Hill,1150,1150 +1,14,1,Grand Central,14,Spuyten Duyvil,975,725 +72,74,72,Hartsdale,74,White Plains,300,300 +46,22,46,Beacon,22,Hastings-on-Hudson,1150,1150 +105,108,105,Mt Vernon East ,108,New Rochelle,300,300 +16,30,16,Riverdale,30,Scarborough,575,575 +56,66,56,Fordham,66,Tuckahoe,300,300 +49,27,49,New Hamburg,27,Tarrytown,825,825 +61,1,61,Wakefield,1,Grand Central,975,725 +86,94,86,Katonah,94,Southeast,300,300 +18,39,18,Yonkers,39,Peekskill,725,725 +78,90,78,Valhalla,90,Croton Falls,675,675 +79,55,79,Mount Pleasant,55,Tremont,575,575 +98,68,98,Pawling,68,Crestwood,1300,1300 +89,99,89,Purdy's,99,Appalachian Trail,425,425 +90,64,90,Croton Falls,64,Fleetwood,875,875 +42,24,42,Garrison,24,Ardsley-on-Hudson,775,775 +19,40,19,Glenwood,40,Manitou,875,875 +79,91,79,Mount Pleasant,91,Brewster,675,675 +39,18,39,Peekskill,18,Yonkers,725,725 +30,49,30,Scarborough,49,New Hamburg,825,825 +31,14,31,Ossining,14,Spuyten Duyvil,575,575 +91,65,91,Brewster,65,Bronxville,875,875 +23,10,23,Dobbs Ferry,10,University Heights,425,425 +177,68,177,Wassaic,68,Crestwood,1600,1600 +83,61,83,Chappaqua,61,Wakefield,575,575 +622,46,622,Yankees-E153 St.,46,Beacon,1450,1450 +4,33,4,Harlem-125th St.,33,Croton-Harmon,1475,1125 +79,176,79,Mount Pleasant,176,Tenmile River,1275,1275 +24,11,24,Ardsley-on-Hudson,11,Marble Hill,425,425 +14,46,14,Spuyten Duyvil,46,Beacon,1450,1450 +74,97,74,White Plains,97,Patterson,1150,1150 +86,71,86,Katonah,71,Scarsdale,600,600 +97,80,97,Patterson,80,Hawthorne,825,825 +49,40,49,New Hamburg,40,Manitou,425,425 +89,76,89,Purdy's,76,North White Plains,775,775 +42,1,42,Garrison,1,Grand Central,2000,1500 +55,83,55,Tremont,83,Chappaqua,575,575 +176,1,176,Tenmile River,1,Grand Central,2725,2025 +1,112,1,Grand Central,112,Harrison,1275,975 +59,90,59,Woodlawn,90,Croton Falls,1150,1150 +19,17,19,Glenwood,17,Ludlow,300,300 +79,68,79,Mount Pleasant,68,Crestwood,500,500 +98,81,98,Pawling,81,Pleasantville,825,825 +71,64,71,Scarsdale,64,Fleetwood,300,300 +101,86,101,Dover Plains,86,Katonah,825,825 +16,622,16,Riverdale,622,Yankees-E153 St.,300,300 +20,18,20,Greystone,18,Yonkers,300,300 +11,49,11,Marble Hill,49,New Hamburg,1450,1450 +4,10,4,Harlem-125th St.,10,University Heights,975,725 +177,81,177,Wassaic,81,Pleasantville,1275,1275 +43,1,43,Cold Spring,1,Grand Central,2000,1500 +115,106,115,Port Chester,106,Pelham,400,400 +62,100,62,Mt Vernon West,100,HM Valley-Wingdale,1525,1525 +1,4,1,Grand Central,4,Harlem-125th St.,825,625 +85,83,85,Bedford Hills,83,Chappaqua,300,300 +37,43,37,Cortlandt,43,Cold Spring,300,300 +97,57,97,Patterson,57,Botanical Garden,1450,1450 +49,17,49,New Hamburg,17,Ludlow,1300,1300 +80,4,80,Hawthorne,4,Harlem-125th St.,1475,1125 +86,84,86,Katonah,84,Mount Kisco,300,300 +18,29,18,Yonkers,29,Philipse Manor,500,500 +78,80,78,Valhalla,80,Hawthorne,300,300 +98,58,98,Pawling,58,Williams Bridge,1450,1450 +90,54,90,Croton Falls,54,Melrose,1150,1150 +42,14,42,Garrison,14,Spuyten Duyvil,1150,1150 +19,30,19,Glenwood,30,Scarborough,500,500 +31,4,31,Ossining,4,Harlem-125th St.,1475,1125 +56,177,56,Fordham,177,Wassaic,1800,1800 +177,58,177,Wassaic,58,Williams Bridge,1800,1800 +176,99,176,Tenmile River,99,Appalachian Trail,450,450 +81,90,81,Pleasantville,90,Croton Falls,675,675 +25,46,25,Irvington,46,Beacon,1150,1150 +37,20,37,Cortlandt,20,Greystone,725,725 +22,40,22,Hastings-on-Hudson,40,Manitou,775,775 +66,83,66,Tuckahoe,83,Chappaqua,500,500 +46,25,46,Beacon,25,Irvington,1150,1150 +86,61,86,Katonah,61,Wakefield,800,800 +4,108,4,Harlem-125th St.,108,New Rochelle,1125,850 +78,57,78,Valhalla,57,Botanical Garden,575,575 +91,176,91,Brewster,176,Tenmile River,750,750 +49,30,49,New Hamburg,30,Scarborough,825,825 +89,66,89,Purdy's,66,Tuckahoe,875,875 +61,4,61,Wakefield,4,Harlem-125th St.,975,725 +27,11,27,Tarrytown,11,Marble Hill,575,575 +18,42,18,Yonkers,42,Garrison,875,875 +100,81,100,HM Valley-Wingdale,81,Pleasantville,1200,1200 +59,80,59,Woodlawn,80,Hawthorne,575,575 +79,58,79,Mount Pleasant,58,Williams Bridge,575,575 +30,16,30,Scarborough,16,Riverdale,575,575 +71,54,71,Scarsdale,54,Melrose,425,425 +33,27,33,Croton-Harmon,27,Tarrytown,300,300 +25,23,25,Irvington,23,Dobbs Ferry,300,300 +10,43,10,University Heights,43,Cold Spring,1150,1150 +62,90,62,Mt Vernon West,90,Croton Falls,875,875 +22,17,22,Hastings-on-Hudson,17,Ludlow,300,300 +54,86,54,Melrose,86,Katonah,800,800 +74,64,74,White Plains,64,Fleetwood,300,300 +622,49,622,Yankees-E153 St.,49,New Hamburg,1450,1450 +37,33,37,Cortlandt,33,Croton-Harmon,300,300 +14,49,14,Spuyten Duyvil,49,New Hamburg,1450,1450 +1,79,1,Grand Central,79,Mount Pleasant,1475,1125 +86,74,86,Katonah,74,White Plains,600,600 +59,57,59,Woodlawn,57,Botanical Garden,300,300 +18,19,18,Yonkers,19,Glenwood,300,300 +65,100,65,Bronxville,100,HM Valley-Wingdale,1525,1525 +89,79,89,Purdy's,79,Mount Pleasant,675,675 +42,4,42,Garrison,4,Harlem-125th St.,2000,1500 +55,86,55,Tremont,86,Katonah,800,800 +1,115,1,Grand Central,115,Port Chester,1375,1025 +40,43,40,Manitou,43,Cold Spring,300,300 +100,94,100,HM Valley-Wingdale,94,Southeast,650,650 +11,16,11,Marble Hill,16,Riverdale,300,300 +58,97,58,Williams Bridge,97,Patterson,1450,1450 +10,20,10,University Heights,20,Greystone,300,300 +176,89,176,Tenmile River,89,Purdy's,750,750 +81,80,81,Pleasantville,80,Hawthorne,300,300 +33,40,33,Croton-Harmon,40,Manitou,675,675 +37,10,37,Cortlandt,10,University Heights,800,800 +76,1,76,North White Plains,1,Grand Central,1275,975 +22,30,22,Hastings-on-Hudson,30,Scarborough,300,300 +54,99,54,Melrose,99,Appalachian Trail,1450,1450 +85,86,85,Bedford Hills,86,Katonah,300,300 +4,98,4,Harlem-125th St.,98,Pawling,2300,1750 +89,56,89,Purdy's,56,Fordham,1150,1150 +88,97,88,Goldens Bridge,97,Patterson,675,675 +27,1,27,Tarrytown,1,Grand Central,1475,1125 +40,20,40,Manitou,20,Greystone,875,875 +100,71,100,HM Valley-Wingdale,71,Scarsdale,1375,1375 +58,74,58,Williams Bridge,74,White Plains,425,425 +61,79,61,Wakefield,79,Mount Pleasant,575,575 +176,66,176,Tenmile River,66,Tuckahoe,1600,1600 +81,57,81,Pleasantville,57,Botanical Garden,575,575 +106,1,106,Pelham,1,Grand Central,1125,850 +33,17,33,Croton-Harmon,17,Ludlow,500,500 +1,622,1,Grand Central,622,Yankees-E153 St.,975,725 +64,4,64,Fleetwood,4,Harlem-125th St.,1150,875 +89,177,89,Purdy's,177,Wassaic,750,750 +10,33,10,University Heights,33,Croton-Harmon,575,575 +62,80,62,Mt Vernon West,80,Hawthorne,500,500 +54,76,54,Melrose,76,North White Plains,425,425 +74,54,74,White Plains,54,Melrose,425,425 +37,23,37,Cortlandt,23,Dobbs Ferry,600,600 +57,1,57,Botanical Garden,1,Grand Central,975,725 +88,74,88,Goldens Bridge,74,White Plains,600,600 +18,9,18,Yonkers,9,Morris Heights,300,300 +99,83,99,Appalachian Trail,83,Chappaqua,825,825 +4,111,4,Harlem-125th St.,111,Mamaroneck,1275,975 +65,90,65,Bronxville,90,Croton Falls,875,875 +57,86,57,Botanical Garden,86,Katonah,800,800 +76,99,76,North White Plains,99,Appalachian Trail,1150,1150 +9,46,9,Morris Heights,46,Beacon,1450,1450 +31,622,31,Ossining,622,Yankees-E153 St.,575,575 +29,24,29,Philipse Manor,24,Ardsley-on-Hudson,300,300 +94,4,94,Southeast,4,Harlem-125th St.,2000,1500 +40,33,40,Manitou,33,Croton-Harmon,675,675 +100,84,100,HM Valley-Wingdale,84,Mount Kisco,825,825 +62,57,62,Mt Vernon West,57,Botanical Garden,300,300 +176,79,176,Tenmile River,79,Mount Pleasant,1275,1275 +33,30,33,Croton-Harmon,30,Scarborough,300,300 +622,16,622,Yankees-E153 St.,16,Riverdale,300,300 +84,81,84,Mount Kisco,81,Pleasantville,300,300 +22,20,22,Hastings-on-Hudson,20,Greystone,300,300 +54,89,54,Melrose,89,Purdy's,1150,1150 +14,16,14,Spuyten Duyvil,16,Riverdale,300,300 +4,88,4,Harlem-125th St.,88,Goldens Bridge,1750,1325 +56,98,56,Fordham,98,Pawling,1450,1450 +17,27,17,Ludlow,27,Tarrytown,500,500 +9,23,9,Morris Heights,23,Dobbs Ferry,425,425 +29,1,29,Philipse Manor,1,Grand Central,1475,1125 +40,10,40,Manitou,10,University Heights,1150,1150 +100,61,100,HM Valley-Wingdale,61,Wakefield,1675,1675 +57,99,57,Botanical Garden,99,Appalachian Trail,1450,1450 +58,64,58,Williams Bridge,64,Fleetwood,300,300 +29,37,29,Philipse Manor,37,Cortlandt,300,300 +176,56,176,Tenmile River,56,Fordham,1800,1800 +31,46,31,Ossining,46,Beacon,825,825 +10,23,10,University Heights,23,Dobbs Ferry,425,425 +51,24,51,Poughkeepsie,24,Ardsley-on-Hudson,1375,1375 +91,97,91,Brewster,97,Patterson,425,425 +54,66,54,Melrose,66,Tuckahoe,300,300 +59,1,59,Woodlawn,1,Grand Central,975,725 +4,65,4,Harlem-125th St.,65,Bronxville,1150,875 +72,83,72,Hartsdale,83,Chappaqua,300,300 +24,43,24,Ardsley-on-Hudson,43,Cold Spring,775,775 +84,94,84,Mount Kisco,94,Southeast,300,300 +16,39,16,Riverdale,39,Peekskill,800,800 +176,177,176,Tenmile River,177,Wassaic,300,300 +1,59,1,Grand Central,59,Woodlawn,975,725 +88,64,88,Goldens Bridge,64,Fleetwood,725,725 +106,112,106,Pelham,112,Harrison,300,300 +65,80,65,Bronxville,80,Hawthorne,500,500 +56,111,56,Fordham,111,Mamaroneck,425,425 +17,40,17,Ludlow,40,Manitou,875,875 +57,76,57,Botanical Garden,76,North White Plains,425,425 +76,89,76,North White Plains,89,Purdy's,775,775 +68,85,68,Crestwood,85,Bedford Hills,725,725 +29,14,29,Philipse Manor,14,Spuyten Duyvil,575,575 +40,23,40,Manitou,23,Dobbs Ferry,775,775 +80,59,80,Hawthorne,59,Woodlawn,575,575 +79,100,79,Mount Pleasant,100,HM Valley-Wingdale,1200,1200 +25,16,25,Irvington,16,Riverdale,425,425 +4,42,4,Harlem-125th St.,42,Garrison,2000,1500 +51,37,51,Poughkeepsie,37,Cortlandt,825,825 +24,20,24,Ardsley-on-Hudson,20,Greystone,300,300 +97,4,97,Patterson,4,Harlem-125th St.,2300,1750 +43,33,43,Cold Spring,33,Croton-Harmon,675,675 +84,71,84,Mount Kisco,71,Scarsdale,600,600 +4,78,4,Harlem-125th St.,78,Valhalla,1475,1125 +65,57,65,Bronxville,57,Botanical Garden,300,300 +56,88,56,Fordham,88,Goldens Bridge,800,800 +90,1,90,Croton Falls,1,Grand Central,2000,1500 +76,66,76,North White Plains,66,Tuckahoe,300,300 +68,62,68,Crestwood,62,Mt Vernon West,300,300 +57,89,57,Botanical Garden,89,Purdy's,1150,1150 +58,54,58,Williams Bridge,54,Melrose,300,300 +98,90,98,Pawling,90,Croton Falls,425,425 +68,98,68,Crestwood,98,Pawling,1300,1300 +42,46,42,Garrison,46,Beacon,425,425 +61,59,61,Wakefield,59,Woodlawn,300,300 +80,72,80,Hawthorne,72,Hartsdale,300,300 +20,27,20,Greystone,27,Tarrytown,500,500 +39,40,39,Peekskill,40,Manitou,300,300 +51,14,51,Poughkeepsie,14,Spuyten Duyvil,1675,1675 +43,10,43,Cold Spring,10,University Heights,1150,1150 +54,56,54,Melrose,56,Fordham,300,300 +4,55,4,Harlem-125th St.,55,Tremont,975,725 +78,4,78,Valhalla,4,Harlem-125th St.,1475,1125 +24,33,24,Ardsley-on-Hudson,33,Croton-Harmon,300,300 +43,46,43,Cold Spring,46,Beacon,425,425 +16,29,16,Riverdale,29,Philipse Manor,575,575 +108,112,108,New Rochelle,112,Harrison,300,300 +1,49,1,Grand Central,49,New Hamburg,2300,1750 +88,54,88,Goldens Bridge,54,Melrose,800,800 +56,101,56,Fordham,101,Dover Plains,1675,1675 +17,30,17,Ludlow,30,Scarborough,500,500 +57,66,57,Botanical Garden,66,Tuckahoe,300,300 +76,79,76,North White Plains,79,Mount Pleasant,300,300 +29,4,29,Philipse Manor,4,Harlem-125th St.,1475,1125 +54,177,54,Melrose,177,Wassaic,1800,1800 +27,43,27,Tarrytown,43,Cold Spring,675,675 +4,176,4,Harlem-125th St.,176,Tenmile River,2725,2025 +19,39,19,Glenwood,39,Peekskill,725,725 +79,90,79,Mount Pleasant,90,Croton Falls,675,675 +39,17,39,Peekskill,17,Ludlow,725,725 +71,86,71,Scarsdale,86,Katonah,600,600 +90,99,90,Croton Falls,99,Appalachian Trail,425,425 +91,64,91,Brewster,64,Fleetwood,875,875 +108,4,108,New Rochelle,4,Harlem-125th St.,1125,850 +20,40,20,Greystone,40,Manitou,875,875 +31,49,31,Ossining,49,New Hamburg,825,825 +51,27,51,Poughkeepsie,27,Tarrytown,1200,1200 +24,10,24,Ardsley-on-Hudson,10,University Heights,425,425 +43,23,43,Cold Spring,23,Dobbs Ferry,775,775 +84,61,84,Mount Kisco,61,Wakefield,800,800 +59,4,59,Woodlawn,4,Harlem-125th St.,975,725 +72,86,72,Hartsdale,86,Katonah,600,600 +16,42,16,Riverdale,42,Garrison,1150,1150 +56,78,56,Fordham,78,Valhalla,575,575 +76,56,76,North White Plains,56,Fordham,425,425 +49,39,49,New Hamburg,39,Peekskill,675,675 +18,51,18,Yonkers,51,Poughkeepsie,1525,1525 +98,80,98,Pawling,80,Hawthorne,825,825 +90,76,90,Croton Falls,76,North White Plains,775,775 +101,85,101,Dover Plains,85,Bedford Hills,825,825 +20,17,20,Greystone,17,Ludlow,300,300 +39,30,39,Peekskill,30,Scarborough,300,300 +71,99,71,Scarsdale,99,Appalachian Trail,1150,1150 +23,22,23,Dobbs Ferry,22,Hastings-on-Hudson,300,300 +51,4,51,Poughkeepsie,4,Harlem-125th St.,2575,1925 +177,80,177,Wassaic,80,Hawthorne,1275,1275 +76,177,76,North White Plains,177,Wassaic,1475,1475 +17,622,17,Ludlow,622,Yankees-E153 St.,300,300 +106,56,106,Pelham,56,Fordham,300,300 +24,23,24,Ardsley-on-Hudson,23,Dobbs Ferry,300,300 +64,59,64,Fleetwood,59,Woodlawn,300,300 +56,55,56,Fordham,55,Tremont,300,300 +16,19,16,Riverdale,19,Glenwood,300,300 +1,39,1,Grand Central,39,Peekskill,1750,1325 +86,83,86,Katonah,83,Chappaqua,300,300 +78,79,78,Valhalla,79,Mount Pleasant,300,300 +57,56,57,Botanical Garden,56,Fordham,300,300 +98,57,98,Pawling,57,Botanical Garden,1450,1450 +89,88,89,Purdy's,88,Goldens Bridge,300,300 +9,16,9,Morris Heights,16,Riverdale,300,300 +68,65,68,Crestwood,65,Bronxville,300,300 +101,62,101,Dover Plains,62,Mt Vernon West,1525,1525 +81,4,81,Pleasantville,4,Harlem-125th St.,1475,1125 +27,33,27,Tarrytown,33,Croton-Harmon,300,300 +19,29,19,Glenwood,29,Philipse Manor,500,500 +79,80,79,Mount Pleasant,80,Hawthorne,300,300 +11,25,11,Marble Hill,25,Irvington,425,425 +71,76,71,Scarsdale,76,North White Plains,300,300 +56,176,56,Fordham,176,Tenmile River,1800,1800 +90,89,90,Croton Falls,89,Purdy's,300,300 +91,54,91,Brewster,54,Melrose,1150,1150 +42,49,42,Garrison,49,New Hamburg,425,425 +101,98,101,Dover Plains,98,Pawling,425,425 +94,59,94,Southeast,59,Woodlawn,1150,1150 +74,1,74,White Plains,1,Grand Central,1275,975 +20,30,20,Greystone,30,Scarborough,500,500 +31,39,31,Ossining,39,Peekskill,300,300 +4,22,4,Harlem-125th St.,22,Hastings-on-Hudson,1275,975 +57,177,57,Botanical Garden,177,Wassaic,1800,1800 +1,16,1,Grand Central,16,Riverdale,975,725 +74,86,74,White Plains,86,Katonah,600,600 +46,24,46,Beacon,24,Ardsley-on-Hudson,1150,1150 +105,110,105,Mt Vernon East ,110,Larchmont,300,300 +64,72,64,Fleetwood,72,Hartsdale,300,300 +111,4,111,Mamaroneck,4,Harlem-125th St.,1275,975 +56,68,56,Fordham,68,Crestwood,300,300 +49,29,49,New Hamburg,29,Philipse Manor,825,825 +108,115,108,New Rochelle,115,Port Chester,400,400 +27,10,27,Tarrytown,10,University Heights,575,575 +59,79,59,Woodlawn,79,Mount Pleasant,575,575 +79,57,79,Mount Pleasant,57,Botanical Garden,575,575 +89,101,89,Purdy's,101,Dover Plains,650,650 +90,66,90,Croton Falls,66,Tuckahoe,875,875 +62,4,62,Mt Vernon West,4,Harlem-125th St.,1150,875 +27,46,27,Tarrytown,46,Beacon,825,825 +19,42,19,Glenwood,42,Garrison,875,875 +39,20,39,Peekskill,20,Greystone,725,725 +30,51,30,Scarborough,51,Poughkeepsie,1200,1200 +31,16,31,Ossining,16,Riverdale,575,575 +71,89,71,Scarsdale,89,Purdy's,775,775 +94,72,94,Southeast,72,Hartsdale,775,775 +46,1,46,Beacon,1,Grand Central,2300,1750 +16,9,16,Riverdale,9,Morris Heights,300,300 +74,99,74,White Plains,99,Appalachian Trail,1150,1150 +29,622,29,Philipse Manor,622,Yankees-E153 St.,575,575 +46,37,46,Beacon,37,Cortlandt,675,675 +49,42,49,New Hamburg,42,Garrison,425,425 +89,78,89,Purdy's,78,Valhalla,675,675 +55,85,55,Tremont,85,Bedford Hills,800,800 +1,114,1,Grand Central,114,Rye,1375,1025 +27,23,27,Tarrytown,23,Dobbs Ferry,300,300 +71,66,71,Scarsdale,66,Tuckahoe,300,300 +90,79,90,Croton Falls,79,Mount Pleasant,675,675 +33,39,33,Croton-Harmon,39,Peekskill,300,300 +622,25,622,Yankees-E153 St.,25,Irvington,425,425 +177,83,177,Wassaic,83,Chappaqua,1275,1275 +115,108,115,Port Chester,108,New Rochelle,400,400 +22,29,22,Hastings-on-Hudson,29,Philipse Manor,300,300 +54,98,54,Melrose,98,Pawling,1450,1450 +74,76,74,White Plains,76,North White Plains,300,300 +66,72,66,Tuckahoe,72,Hartsdale,300,300 +46,14,46,Beacon,14,Spuyten Duyvil,1450,1450 +56,58,56,Fordham,58,Williams Bridge,300,300 +97,59,97,Patterson,59,Woodlawn,1450,1450 +49,19,49,New Hamburg,19,Glenwood,1300,1300 +89,55,89,Purdy's,55,Tremont,1150,1150 +55,62,55,Tremont,62,Mt Vernon West,300,300 +18,31,18,Yonkers,31,Ossining,500,500 +89,91,89,Purdy's,91,Brewster,300,300 +90,56,90,Croton Falls,56,Fordham,1150,1150 +42,16,42,Garrison,16,Riverdale,1150,1150 +55,98,55,Tremont,98,Pawling,1450,1450 +101,65,101,Dover Plains,65,Bronxville,1525,1525 +29,46,29,Philipse Manor,46,Beacon,825,825 +51,622,51,Poughkeepsie,622,Yankees-E153 St.,1675,1675 +114,4,114,Rye,4,Harlem-125th St.,1375,1025 +111,115,111,Mamaroneck,115,Port Chester,375,375 +89,176,89,Purdy's,176,Tenmile River,750,750 +176,101,176,Tenmile River,101,Dover Plains,300,300 +62,79,62,Mt Vernon West,79,Mount Pleasant,500,500 +85,62,85,Bedford Hills,62,Mt Vernon West,725,725 +37,22,37,Cortlandt,22,Hastings-on-Hudson,600,600 +65,4,65,Bronxville,4,Harlem-125th St.,1150,875 +90,177,90,Croton Falls,177,Wassaic,750,750 +22,42,22,Hastings-on-Hudson,42,Garrison,775,775 +74,89,74,White Plains,89,Purdy's,775,775 +66,85,66,Tuckahoe,85,Bedford Hills,725,725 +85,98,85,Bedford Hills,98,Pawling,675,675 +4,110,4,Harlem-125th St.,110,Larchmont,1275,975 +78,59,78,Valhalla,59,Woodlawn,575,575 +97,72,97,Patterson,72,Hartsdale,1150,1150 +58,1,58,Williams Bridge,1,Grand Central,975,725 +89,68,89,Purdy's,68,Crestwood,875,875 +19,9,19,Glenwood,9,Morris Heights,300,300 +100,83,100,HM Valley-Wingdale,83,Chappaqua,1200,1200 +30,18,30,Scarborough,18,Yonkers,500,500 +71,56,71,Scarsdale,56,Fordham,425,425 +58,86,58,Williams Bridge,86,Katonah,800,800 +61,91,61,Wakefield,91,Brewster,1150,1150 +176,78,176,Tenmile River,78,Valhalla,1275,1275 +33,29,33,Croton-Harmon,29,Philipse Manor,300,300 +22,19,22,Hastings-on-Hudson,19,Glenwood,300,300 +54,88,54,Melrose,88,Goldens Bridge,800,800 +88,1,88,Goldens Bridge,1,Grand Central,1750,1325 +74,66,74,White Plains,66,Tuckahoe,300,300 +66,62,66,Tuckahoe,62,Mt Vernon West,300,300 +46,4,46,Beacon,4,Harlem-125th St.,2300,1750 +71,177,71,Scarsdale,177,Wassaic,1475,1475 +49,9,49,New Hamburg,9,Morris Heights,1450,1450 +14,51,14,Spuyten Duyvil,51,Poughkeepsie,1675,1675 +1,81,1,Grand Central,81,Pleasantville,1475,1125 +88,86,88,Goldens Bridge,86,Katonah,300,300 +78,72,78,Valhalla,72,Hartsdale,300,300 +57,98,57,Botanical Garden,98,Pawling,1450,1450 +80,81,80,Hawthorne,81,Pleasantville,300,300 +111,105,111,Mamaroneck,105,Mt Vernon East ,300,300 +58,99,58,Williams Bridge,99,Appalachian Trail,1450,1450 +10,22,10,University Heights,22,Hastings-on-Hudson,425,425 +176,91,176,Tenmile River,91,Brewster,750,750 +54,65,54,Melrose,65,Bronxville,300,300 +33,42,33,Croton-Harmon,42,Garrison,675,675 +101,176,101,Dover Plains,176,Tenmile River,300,300 +54,101,54,Melrose,101,Dover Plains,1675,1675 +114,115,114,Rye,115,Port Chester,300,300 +74,79,74,White Plains,79,Mount Pleasant,300,300 +106,111,106,Pelham,111,Mamaroneck,300,300 +4,100,4,Harlem-125th St.,100,HM Valley-Wingdale,2575,1925 +89,58,89,Purdy's,58,Williams Bridge,1150,1150 +17,39,17,Ludlow,39,Peekskill,725,725 +76,88,76,North White Plains,88,Goldens Bridge,600,600 +110,1,110,Larchmont,1,Grand Central,1275,975 +55,65,55,Tremont,65,Bronxville,300,300 +1,94,1,Grand Central,94,Southeast,2000,1500 +88,99,88,Goldens Bridge,99,Appalachian Trail,675,675 +40,22,40,Manitou,22,Hastings-on-Hudson,775,775 +58,76,58,Williams Bridge,76,North White Plains,425,425 +29,49,29,Philipse Manor,49,New Hamburg,825,825 +61,81,61,Wakefield,81,Pleasantville,575,575 +176,68,176,Tenmile River,68,Crestwood,1600,1600 +80,94,80,Hawthorne,94,Southeast,675,675 +81,59,81,Pleasantville,59,Woodlawn,575,575 +33,19,33,Croton-Harmon,19,Glenwood,500,500 +22,9,22,Hastings-on-Hudson,9,Morris Heights,425,425 +54,78,54,Melrose,78,Valhalla,575,575 +74,56,74,White Plains,56,Fordham,425,425 +85,65,85,Bedford Hills,65,Bronxville,725,725 +98,4,98,Pawling,4,Harlem-125th St.,2300,1750 +16,51,16,Riverdale,51,Poughkeepsie,1675,1675 +1,71,1,Grand Central,71,Scarsdale,1275,975 +88,76,88,Goldens Bridge,76,North White Plains,600,600 +18,11,18,Yonkers,11,Marble Hill,300,300 +99,85,99,Appalachian Trail,85,Bedford Hills,675,675 +57,88,57,Botanical Garden,88,Goldens Bridge,800,800 +91,1,91,Brewster,1,Grand Central,2000,1500 +177,4,177,Wassaic,4,Harlem-125th St.,2725,2025 +76,101,76,North White Plains,101,Dover Plains,1375,1375 +68,97,68,Crestwood,97,Patterson,1300,1300 +74,177,74,White Plains,177,Wassaic,1475,1475 +80,71,80,Hawthorne,71,Scarsdale,300,300 +100,86,100,HM Valley-Wingdale,86,Katonah,825,825 +58,89,58,Williams Bridge,89,Purdy's,1150,1150 +61,94,61,Wakefield,94,Southeast,1150,1150 +62,59,62,Mt Vernon West,59,Woodlawn,300,300 +176,81,176,Tenmile River,81,Pleasantville,1275,1275 +81,72,81,Pleasantville,72,Hartsdale,300,300 +54,55,54,Melrose,55,Tremont,300,300 +622,18,622,Yankees-E153 St.,18,Yonkers,300,300 +51,49,51,Poughkeepsie,49,New Hamburg,425,425 +84,83,84,Mount Kisco,83,Chappaqua,300,300 +14,18,14,Spuyten Duyvil,18,Yonkers,300,300 +114,105,114,Rye,105,Mt Vernon East ,400,400 +99,62,99,Appalachian Trail,62,Mt Vernon West,1300,1300 +4,90,4,Harlem-125th St.,90,Croton Falls,2000,1500 +79,4,79,Mount Pleasant,4,Harlem-125th St.,1475,1125 +56,100,56,Fordham,100,HM Valley-Wingdale,1675,1675 +17,29,17,Ludlow,29,Philipse Manor,500,500 +76,78,76,North White Plains,78,Valhalla,300,300 +9,25,9,Morris Heights,25,Irvington,425,425 +68,74,68,Crestwood,74,White Plains,300,300 +1,84,1,Grand Central,84,Mount Kisco,1750,1325 +54,176,54,Melrose,176,Tenmile River,1800,1800 +88,89,88,Goldens Bridge,89,Purdy's,300,300 +99,98,99,Appalachian Trail,98,Pawling,300,300 +57,101,57,Botanical Garden,101,Dover Plains,1675,1675 +58,66,58,Williams Bridge,66,Tuckahoe,300,300 +61,71,61,Wakefield,71,Scarsdale,425,425 +176,58,176,Tenmile River,58,Williams Bridge,1800,1800 +80,84,80,Hawthorne,84,Mount Kisco,300,300 +33,9,33,Croton-Harmon,9,Morris Heights,575,575 +20,39,20,Greystone,39,Peekskill,725,725 +10,25,10,University Heights,25,Irvington,425,425 +91,99,91,Brewster,99,Appalachian Trail,425,425 +110,112,110,Larchmont,112,Harrison,300,300 +55,176,55,Tremont,176,Tenmile River,1800,1800 +46,622,46,Beacon,622,Yankees-E153 St.,1450,1450 +43,22,43,Cold Spring,22,Hastings-on-Hudson,775,775 +54,68,54,Melrose,68,Crestwood,300,300 +72,85,72,Hartsdale,85,Bedford Hills,600,600 +64,81,64,Fleetwood,81,Pleasantville,500,500 +1,61,1,Grand Central,61,Wakefield,975,725 +88,66,88,Goldens Bridge,66,Tuckahoe,725,725 +17,42,17,Ludlow,42,Garrison,875,875 +57,78,57,Botanical Garden,78,Valhalla,575,575 +76,91,76,North White Plains,91,Brewster,775,775 +29,16,29,Philipse Manor,16,Riverdale,575,575 +40,25,40,Manitou,25,Irvington,775,775 +80,61,80,Hawthorne,61,Wakefield,575,575 +85,176,85,Bedford Hills,176,Tenmile River,1000,1000 +39,29,39,Peekskill,29,Philipse Manor,300,300 +58,79,58,Williams Bridge,79,Mount Pleasant,575,575 +71,98,71,Scarsdale,98,Pawling,1150,1150 +91,76,91,Brewster,76,North White Plains,775,775 +61,84,61,Wakefield,84,Mount Kisco,800,800 +94,81,94,Southeast,81,Pleasantville,675,675 +51,39,51,Poughkeepsie,39,Peekskill,825,825 +24,22,24,Ardsley-on-Hudson,22,Hastings-on-Hudson,300,300 +16,18,16,Riverdale,18,Yonkers,300,300 +4,80,4,Harlem-125th St.,80,Hawthorne,1475,1125 +72,98,72,Hartsdale,98,Pawling,1150,1150 +64,94,64,Fleetwood,94,Southeast,875,875 +65,59,65,Bronxville,59,Woodlawn,300,300 +56,90,56,Fordham,90,Croton Falls,1150,1150 +57,55,57,Botanical Garden,55,Tremont,300,300 +17,19,17,Ludlow,19,Glenwood,300,300 +76,68,76,North White Plains,68,Crestwood,300,300 +49,51,49,New Hamburg,51,Poughkeepsie,425,425 +68,64,68,Crestwood,64,Fleetwood,300,300 +57,91,57,Botanical Garden,91,Brewster,1150,1150 +58,56,58,Williams Bridge,56,Fordham,300,300 +90,88,90,Croton Falls,88,Goldens Bridge,300,300 +101,97,101,Dover Plains,97,Patterson,425,425 +20,29,20,Greystone,29,Philipse Manor,500,500 +39,42,39,Peekskill,42,Garrison,300,300 +57,176,57,Botanical Garden,176,Tenmile River,1800,1800 +91,89,91,Brewster,89,Purdy's,300,300 +51,16,51,Poughkeepsie,16,Riverdale,1675,1675 +83,85,83,Chappaqua,85,Bedford Hills,300,300 +4,57,4,Harlem-125th St.,57,Botanical Garden,975,725 +58,177,58,Williams Bridge,177,Wassaic,1800,1800 +64,71,64,Fleetwood,71,Scarsdale,300,300 +16,31,16,Riverdale,31,Ossining,575,575 +108,114,108,New Rochelle,114,Rye,400,400 +1,51,1,Grand Central,51,Poughkeepsie,2575,1925 +88,56,88,Goldens Bridge,56,Fordham,800,800 +99,65,99,Appalachian Trail,65,Bronxville,1300,1300 +65,72,65,Bronxville,72,Hartsdale,300,300 +112,4,112,Harrison,4,Harlem-125th St.,1275,975 +57,68,57,Botanical Garden,68,Crestwood,300,300 +89,100,89,Purdy's,100,HM Valley-Wingdale,650,650 +42,25,42,Garrison,25,Irvington,775,775 +39,19,39,Peekskill,19,Glenwood,725,725 +11,37,11,Marble Hill,37,Cortlandt,800,800 +71,88,71,Scarsdale,88,Goldens Bridge,600,600 +105,1,105,Mt Vernon East ,1,Grand Central,1125,850 +90,101,90,Croton Falls,101,Dover Plains,650,650 +91,66,91,Brewster,66,Tuckahoe,875,875 +83,62,83,Chappaqua,62,Mt Vernon West,500,500 +88,177,88,Goldens Bridge,177,Wassaic,1000,1000 +94,71,94,Southeast,71,Scarsdale,775,775 +20,42,20,Greystone,42,Garrison,875,875 +31,51,31,Ossining,51,Poughkeepsie,1200,1200 +51,29,51,Poughkeepsie,29,Philipse Manor,1200,1200 +83,98,83,Chappaqua,98,Pawling,825,825 +43,25,43,Cold Spring,25,Irvington,775,775 +64,84,64,Fleetwood,84,Mount Kisco,725,725 +56,80,56,Fordham,80,Hawthorne,575,575 +17,9,17,Ludlow,9,Morris Heights,300,300 +76,58,76,North White Plains,58,Williams Bridge,425,425 +68,54,68,Crestwood,54,Melrose,300,300 +27,22,27,Tarrytown,22,Hastings-on-Hudson,300,300 +59,91,59,Woodlawn,91,Brewster,1150,1150 +30,27,30,Scarborough,27,Tarrytown,300,300 +71,65,71,Scarsdale,65,Bronxville,300,300 +90,78,90,Croton Falls,78,Valhalla,675,675 +110,56,110,Larchmont,56,Fordham,425,425 +20,19,20,Greystone,19,Glenwood,300,300 +71,101,71,Scarsdale,101,Dover Plains,1375,1375 +4,11,4,Harlem-125th St.,11,Marble Hill,975,725 +91,79,91,Brewster,79,Mount Pleasant,675,675 +23,24,23,Dobbs Ferry,24,Ardsley-on-Hudson,300,300 +94,84,94,Southeast,84,Mount Kisco,300,300 +72,65,72,Hartsdale,65,Bronxville,300,300 +64,61,64,Fleetwood,61,Wakefield,300,300 +24,25,24,Ardsley-on-Hudson,25,Irvington,300,300 +56,57,56,Fordham,57,Botanical Garden,300,300 +86,85,86,Katonah,85,Bedford Hills,300,300 +46,49,46,Beacon,49,New Hamburg,300,300 +78,81,78,Valhalla,81,Pleasantville,300,300 +97,94,97,Patterson,94,Southeast,425,425 +98,59,98,Pawling,59,Woodlawn,1450,1450 +57,58,57,Botanical Garden,58,Williams Bridge,300,300 +89,90,89,Purdy's,90,Croton Falls,300,300 +90,55,90,Croton Falls,55,Tremont,1150,1150 +55,97,55,Tremont,97,Patterson,1450,1450 +101,64,101,Dover Plains,64,Fleetwood,1525,1525 +19,31,19,Glenwood,31,Ossining,500,500 +39,9,39,Peekskill,9,Morris Heights,800,800 +11,27,11,Marble Hill,27,Tarrytown,575,575 +111,114,111,Mamaroneck,114,Rye,375,375 +30,40,30,Scarborough,40,Manitou,675,675 +71,78,71,Scarsdale,78,Valhalla,300,300 +91,56,91,Brewster,56,Fordham,1150,1150 +23,1,23,Dobbs Ferry,1,Grand Central,1275,975 +177,59,177,Wassaic,59,Woodlawn,1800,1800 +90,91,90,Croton Falls,91,Brewster,300,300 +94,61,94,Southeast,61,Wakefield,1150,1150 +33,51,33,Croton-Harmon,51,Poughkeepsie,1200,1200 +112,115,112,Harrison,115,Port Chester,375,375 +4,24,4,Harlem-125th St.,24,Ardsley-on-Hudson,1275,975 +23,37,23,Dobbs Ferry,37,Cortlandt,600,600 +1,18,1,Grand Central,18,Yonkers,1150,875 +74,88,74,White Plains,88,Goldens Bridge,600,600 +85,97,85,Bedford Hills,97,Patterson,675,675 +86,62,86,Katonah,62,Mt Vernon West,725,725 +91,177,91,Brewster,177,Wassaic,750,750 +97,71,97,Patterson,71,Scarsdale,1150,1150 +49,31,49,New Hamburg,31,Ossining,825,825 +55,74,55,Tremont,74,White Plains,425,425 +86,98,86,Katonah,98,Pawling,675,675 +18,43,18,Yonkers,43,Cold Spring,875,875 +59,81,59,Woodlawn,81,Pleasantville,575,575 +78,94,78,Valhalla,94,Southeast,675,675 +79,59,79,Mount Pleasant,59,Woodlawn,575,575 +98,72,98,Pawling,72,Hartsdale,1150,1150 +30,17,30,Scarborough,17,Ludlow,500,500 +71,55,71,Scarsdale,55,Tremont,425,425 +90,68,90,Croton Falls,68,Crestwood,875,875 +20,9,20,Greystone,9,Morris Heights,300,300 +39,22,39,Peekskill,22,Hastings-on-Hudson,600,600 +11,40,11,Marble Hill,40,Manitou,1150,1150 +31,18,31,Ossining,18,Yonkers,500,500 +4,1,4,Harlem-125th St.,1,Grand Central,825,625 +23,14,23,Dobbs Ferry,14,Spuyten Duyvil,425,425 +177,72,177,Wassaic,72,Hartsdale,1475,1475 +83,65,83,Chappaqua,65,Bronxville,500,500 +72,55,72,Hartsdale,55,Tremont,425,425 +85,74,85,Bedford Hills,74,White Plains,600,600 +71,176,71,Scarsdale,176,Tenmile River,1475,1475 +74,101,74,White Plains,101,Dover Plains,1375,1375 +66,97,66,Tuckahoe,97,Patterson,1300,1300 +46,39,46,Beacon,39,Peekskill,675,675 +59,58,59,Woodlawn,58,Williams Bridge,300,300 +18,20,18,Yonkers,20,Greystone,300,300 +78,71,78,Valhalla,71,Scarsdale,300,300 +97,84,97,Patterson,84,Mount Kisco,675,675 +89,80,89,Purdy's,80,Hawthorne,675,675 +101,54,101,Dover Plains,54,Melrose,1675,1675 +27,25,27,Tarrytown,25,Irvington,300,300 +59,94,59,Woodlawn,94,Southeast,1150,1150 +72,176,72,Hartsdale,176,Tenmile River,1475,1475 +79,72,79,Mount Pleasant,72,Hartsdale,300,300 +11,17,11,Marble Hill,17,Ludlow,300,300 +71,68,71,Scarsdale,68,Crestwood,300,300 +176,90,176,Tenmile River,90,Croton Falls,750,750 +25,37,25,Irvington,37,Cortlandt,600,600 +112,105,112,Harrison,105,Mt Vernon East ,300,300 +4,14,4,Harlem-125th St.,14,Spuyten Duyvil,975,725 +622,27,622,Yankees-E153 St.,27,Tarrytown,575,575 +115,110,115,Port Chester,110,Larchmont,375,375 +22,31,22,Hastings-on-Hudson,31,Ossining,300,300 +54,100,54,Melrose,100,HM Valley-Wingdale,1675,1675 +14,27,14,Spuyten Duyvil,27,Tarrytown,575,575 +74,78,74,White Plains,78,Valhalla,300,300 +66,74,66,Tuckahoe,74,White Plains,300,300 +46,16,46,Beacon,16,Riverdale,1450,1450 +97,61,97,Patterson,61,Wakefield,1450,1450 +89,57,89,Purdy's,57,Botanical Garden,1150,1150 +55,64,55,Tremont,64,Fleetwood,300,300 +18,33,18,Yonkers,33,Croton-Harmon,500,500 +59,71,59,Woodlawn,71,Scarsdale,425,425 +78,84,78,Valhalla,84,Mount Kisco,300,300 +98,62,98,Pawling,62,Mt Vernon West,1300,1300 +90,58,90,Croton Falls,58,Williams Bridge,1150,1150 +11,30,11,Marble Hill,30,Scarborough,575,575 +23,4,23,Dobbs Ferry,4,Harlem-125th St.,1275,975 +177,62,177,Wassaic,62,Mt Vernon West,1600,1600 +56,1,56,Fordham,1,Grand Central,975,725 +62,81,62,Mt Vernon West,81,Pleasantville,500,500 +81,94,81,Pleasantville,94,Southeast,675,675 +74,55,74,White Plains,55,Tremont,425,425 +622,40,622,Yankees-E153 St.,40,Manitou,1150,1150 +85,64,85,Bedford Hills,64,Fleetwood,725,725 +37,24,37,Cortlandt,24,Ardsley-on-Hudson,600,600 +14,40,14,Spuyten Duyvil,40,Manitou,1150,1150 +74,91,74,White Plains,91,Brewster,775,775 +86,65,86,Katonah,65,Bronxville,725,725 +18,10,18,Yonkers,10,University Heights,300,300 +4,112,4,Harlem-125th St.,112,Harrison,1275,975 +78,61,78,Valhalla,61,Wakefield,575,575 +97,74,97,Patterson,74,White Plains,1150,1150 +17,51,17,Ludlow,51,Poughkeepsie,1525,1525 +1,106,1,Grand Central,106,Pelham,1125,850 +74,176,74,White Plains,176,Tenmile River,1475,1475 +19,11,19,Glenwood,11,Marble Hill,300,300 +100,85,100,HM Valley-Wingdale,85,Bedford Hills,825,825 +71,58,71,Scarsdale,58,Williams Bridge,425,425 +58,88,58,Williams Bridge,88,Goldens Bridge,800,800 +176,80,176,Tenmile River,80,Hawthorne,1275,1275 +81,71,81,Pleasantville,71,Scarsdale,300,300 +33,31,33,Croton-Harmon,31,Ossining,300,300 +25,27,25,Irvington,27,Tarrytown,300,300 +622,17,622,Yankees-E153 St.,17,Ludlow,300,300 +105,56,105,Mt Vernon East ,56,Fordham,300,300 +37,1,37,Cortlandt,1,Grand Central,1750,1325 +62,94,62,Mt Vernon West,94,Southeast,875,875 +54,90,54,Melrose,90,Croton Falls,1150,1150 +14,17,14,Spuyten Duyvil,17,Ludlow,300,300 +74,68,74,White Plains,68,Crestwood,300,300 +66,64,66,Tuckahoe,64,Fleetwood,300,300 +4,89,4,Harlem-125th St.,89,Purdy's,2000,1500 +49,11,49,New Hamburg,11,Marble Hill,1450,1450 +11,622,11,Marble Hill,622,Yankees-E153 St.,300,300 +55,54,55,Tremont,54,Melrose,300,300 +1,83,1,Grand Central,83,Chappaqua,1475,1125 +99,97,99,Appalachian Trail,97,Patterson,300,300 +100,62,100,HM Valley-Wingdale,62,Mt Vernon West,1525,1525 +18,23,18,Yonkers,23,Dobbs Ferry,300,300 +59,61,59,Woodlawn,61,Wakefield,300,300 +57,100,57,Botanical Garden,100,HM Valley-Wingdale,1675,1675 +80,83,80,Hawthorne,83,Chappaqua,300,300 +100,98,100,HM Valley-Wingdale,98,Pawling,425,425 +25,4,25,Irvington,4,Harlem-125th St.,1275,975 +58,101,58,Williams Bridge,101,Dover Plains,1675,1675 +10,24,10,University Heights,24,Ardsley-on-Hudson,425,425 +110,111,110,Larchmont,111,Mamaroneck,300,300 +62,71,62,Mt Vernon West,71,Scarsdale,300,300 +81,84,81,Pleasantville,84,Mount Kisco,300,300 +25,40,25,Irvington,40,Manitou,775,775 +622,30,622,Yankees-E153 St.,30,Scarborough,575,575 +85,54,85,Bedford Hills,54,Melrose,800,800 +37,14,37,Cortlandt,14,Spuyten Duyvil,800,800 +68,1,68,Crestwood,1,Grand Central,1150,875 +14,30,14,Spuyten Duyvil,30,Scarborough,575,575 +99,74,99,Appalachian Trail,74,White Plains,1150,1150 +65,81,65,Bronxville,81,Pleasantville,500,500 +56,112,56,Fordham,112,Harrison,425,425 +76,90,76,North White Plains,90,Croton Falls,775,775 +9,37,9,Morris Heights,37,Cortlandt,800,800 +68,86,68,Crestwood,86,Katonah,725,725 +88,101,88,Goldens Bridge,101,Dover Plains,825,825 +40,24,40,Manitou,24,Ardsley-on-Hudson,775,775 +58,78,58,Williams Bridge,78,Valhalla,575,575 +10,1,10,University Heights,1,Grand Central,975,725 +29,51,29,Philipse Manor,51,Poughkeepsie,1200,1200 +61,83,61,Wakefield,83,Chappaqua,575,575 +81,61,81,Pleasantville,61,Wakefield,575,575 +86,176,86,Katonah,176,Tenmile River,1000,1000 +25,17,25,Irvington,17,Ludlow,300,300 +10,37,10,University Heights,37,Cortlandt,800,800 +56,4,56,Fordham,4,Harlem-125th St.,975,725 +62,84,62,Mt Vernon West,84,Mount Kisco,725,725 +22,11,22,Hastings-on-Hudson,11,Marble Hill,425,425 +54,80,54,Melrose,80,Hawthorne,575,575 +74,58,74,White Plains,58,Williams Bridge,425,425 +66,54,66,Tuckahoe,54,Melrose,300,300 +4,79,4,Harlem-125th St.,79,Mount Pleasant,1475,1125 +72,97,72,Hartsdale,97,Patterson,1150,1150 +17,18,17,Ludlow,18,Yonkers,300,300 +88,78,88,Goldens Bridge,78,Valhalla,300,300 +40,1,40,Manitou,1,Grand Central,2000,1500 +65,94,65,Bronxville,94,Southeast,875,875 +57,90,57,Botanical Garden,90,Croton Falls,1150,1150 +58,55,58,Williams Bridge,55,Tremont,300,300 +68,99,68,Crestwood,99,Appalachian Trail,1300,1300 +23,622,23,Dobbs Ferry,622,Yankees-E153 St.,425,425 +40,37,40,Manitou,37,Cortlandt,300,300 +58,91,58,Williams Bridge,91,Brewster,1150,1150 +91,88,91,Brewster,88,Goldens Bridge,300,300 +10,14,10,University Heights,14,Spuyten Duyvil,300,300 +62,61,62,Mt Vernon West,61,Wakefield,300,300 +81,74,81,Pleasantville,74,White Plains,300,300 +54,57,54,Melrose,57,Botanical Garden,300,300 +37,4,37,Cortlandt,4,Harlem-125th St.,1750,1325 +4,56,4,Harlem-125th St.,56,Fordham,975,725 +58,176,58,Williams Bridge,176,Tenmile River,1800,1800 +84,85,84,Mount Kisco,85,Bedford Hills,300,300 +88,55,88,Goldens Bridge,55,Tremont,800,800 +99,64,99,Appalachian Trail,64,Fleetwood,1300,1300 +65,71,65,Bronxville,71,Scarsdale,300,300 +17,31,17,Ludlow,31,Ossining,500,500 +76,80,76,North White Plains,80,Hawthorne,300,300 +9,27,9,Morris Heights,27,Tarrytown,575,575 +68,76,68,Crestwood,76,North White Plains,300,300 +88,91,88,Goldens Bridge,91,Brewster,300,300 +40,14,40,Manitou,14,Spuyten Duyvil,1150,1150 +100,65,100,HM Valley-Wingdale,65,Bronxville,1525,1525 +4,177,4,Harlem-125th St.,177,Wassaic,2725,2025 +58,68,58,Williams Bridge,68,Crestwood,300,300 +90,100,90,Croton Falls,100,HM Valley-Wingdale,650,650 +80,86,80,Hawthorne,86,Katonah,300,300 +88,176,88,Goldens Bridge,176,Tenmile River,1000,1000 +33,11,33,Croton-Harmon,11,Marble Hill,575,575 +91,101,91,Brewster,101,Dover Plains,650,650 +23,46,23,Dobbs Ferry,46,Beacon,1150,1150 +110,114,110,Larchmont,114,Rye,375,375 +83,97,83,Chappaqua,97,Patterson,825,825 +43,24,43,Cold Spring,24,Ardsley-on-Hudson,775,775 +84,62,84,Mount Kisco,62,Mt Vernon West,725,725 +22,1,22,Hastings-on-Hudson,1,Grand Central,1275,975 +1,27,1,Grand Central,27,Tarrytown,1475,1125 +64,83,64,Fleetwood,83,Chappaqua,500,500 +84,98,84,Mount Kisco,98,Pawling,675,675 +16,43,16,Riverdale,43,Cold Spring,1150,1150 +56,79,56,Fordham,79,Mount Pleasant,575,575 +76,57,76,North White Plains,57,Botanical Garden,425,425 +9,4,9,Morris Heights,4,Harlem-125th St.,975,725 +101,1,101,Dover Plains,1,Grand Central,2575,1925 +88,68,88,Goldens Bridge,68,Crestwood,725,725 +65,84,65,Bronxville,84,Mount Kisco,725,725 +56,115,56,Fordham,115,Port Chester,500,500 +57,80,57,Botanical Garden,80,Hawthorne,575,575 +9,40,9,Morris Heights,40,Manitou,1150,1150 +25,622,25,Irvington,622,Yankees-E153 St.,425,425 +29,18,29,Philipse Manor,18,Yonkers,500,500 +42,37,42,Garrison,37,Cortlandt,300,300 +68,89,68,Crestwood,89,Purdy's,875,875 +39,31,39,Peekskill,31,Ossining,300,300 +71,100,71,Scarsdale,100,HM Valley-Wingdale,1375,1375 +31,27,31,Ossining,27,Tarrytown,300,300 +10,4,10,University Heights,4,Harlem-125th St.,975,725 +91,78,91,Brewster,78,Valhalla,675,675 +83,74,83,Chappaqua,74,White Plains,300,300 +94,83,94,Southeast,83,Chappaqua,675,675 +72,64,72,Hartsdale,64,Fleetwood,300,300 +4,46,4,Harlem-125th St.,46,Beacon,2300,1750 +43,37,43,Cold Spring,37,Cortlandt,300,300 +89,4,89,Purdy's,4,Harlem-125th St.,2000,1500 +16,20,16,Riverdale,20,Greystone,300,300 +1,40,1,Grand Central,40,Manitou,2000,1500 +99,54,99,Appalachian Trail,54,Melrose,1450,1450 +72,100,72,Hartsdale,100,HM Valley-Wingdale,1375,1375 +65,61,65,Bronxville,61,Wakefield,300,300 +9,17,9,Morris Heights,17,Ludlow,300,300 +68,66,68,Crestwood,66,Tuckahoe,300,300 +40,4,40,Manitou,4,Harlem-125th St.,2000,1500 +79,81,79,Mount Pleasant,81,Pleasantville,300,300 +98,94,98,Pawling,94,Southeast,425,425 +30,39,30,Scarborough,39,Peekskill,300,300 +91,55,91,Brewster,55,Tremont,1150,1150 +101,99,101,Dover Plains,99,Appalachian Trail,425,425 +20,31,20,Greystone,31,Ossining,500,500 +112,114,112,Harrison,114,Rye,375,375 +4,23,4,Harlem-125th St.,23,Dobbs Ferry,1275,975 +31,40,31,Ossining,40,Manitou,675,675 +51,18,51,Poughkeepsie,18,Yonkers,1525,1525 +24,1,24,Ardsley-on-Hudson,1,Grand Central,1275,975 +177,94,177,Wassaic,94,Southeast,750,750 +43,14,43,Cold Spring,14,Spuyten Duyvil,1150,1150 +1,17,1,Grand Central,17,Ludlow,1150,875 +100,176,100,HM Valley-Wingdale,176,Tenmile River,300,300 +4,59,4,Harlem-125th St.,59,Woodlawn,975,725 +105,111,105,Mt Vernon East ,111,Mamaroneck,300,300 +24,37,24,Ardsley-on-Hudson,37,Cortlandt,600,600 +16,33,16,Riverdale,33,Croton-Harmon,575,575 +88,58,88,Goldens Bridge,58,Williams Bridge,800,800 +86,97,86,Katonah,97,Patterson,675,675 +98,71,98,Pawling,71,Scarsdale,1150,1150 +68,79,68,Crestwood,79,Mount Pleasant,500,500 +42,27,42,Garrison,27,Tarrytown,675,675 +101,76,101,Dover Plains,76,North White Plains,1375,1375 +54,1,54,Melrose,1,Grand Central,975,725 +19,43,19,Glenwood,43,Cold Spring,875,875 +79,94,79,Mount Pleasant,94,Southeast,675,675 +11,39,11,Marble Hill,39,Peekskill,800,800 +71,90,71,Scarsdale,90,Croton Falls,775,775 +31,17,31,Ossining,17,Ludlow,500,500 +91,68,91,Brewster,68,Crestwood,875,875 +177,71,177,Wassaic,71,Scarsdale,1475,1475 +83,64,83,Chappaqua,64,Fleetwood,500,500 +72,54,72,Hartsdale,54,Melrose,425,425 +23,49,23,Dobbs Ferry,49,New Hamburg,1150,1150 +24,14,24,Ardsley-on-Hudson,14,Spuyten Duyvil,425,425 +43,27,43,Cold Spring,27,Tarrytown,675,675 +16,10,16,Riverdale,10,University Heights,300,300 +84,65,84,Mount Kisco,65,Bronxville,725,725 +55,1,55,Tremont,1,Grand Central,975,725 +1,30,1,Grand Central,30,Scarborough,1475,1125 +74,100,74,White Plains,100,HM Valley-Wingdale,1375,1375 +64,86,64,Fleetwood,86,Katonah,725,725 +17,11,17,Ludlow,11,Marble Hill,300,300 +97,83,97,Patterson,83,Chappaqua,825,825 +49,43,49,New Hamburg,43,Cold Spring,425,425 +68,56,68,Crestwood,56,Fordham,300,300 +176,4,176,Tenmile River,4,Harlem-125th St.,2725,2025 +27,24,27,Tarrytown,24,Ardsley-on-Hudson,300,300 +19,20,19,Glenwood,20,Greystone,300,300 +79,71,79,Mount Pleasant,71,Scarsdale,300,300 +98,84,98,Pawling,84,Mount Kisco,675,675 +30,29,30,Scarborough,29,Philipse Manor,300,300 +90,80,90,Croton Falls,80,Hawthorne,675,675 +42,40,42,Garrison,40,Manitou,300,300 +101,89,101,Dover Plains,89,Purdy's,650,650 +85,1,85,Bedford Hills,1,Grand Central,1750,1325 +31,30,31,Ossining,30,Scarborough,300,300 +177,84,177,Wassaic,84,Mount Kisco,1000,1000 +43,4,43,Cold Spring,4,Harlem-125th St.,2000,1500 +68,177,68,Crestwood,177,Wassaic,1600,1600 +9,622,9,Morris Heights,622,Yankees-E153 St.,300,300 +37,46,37,Cortlandt,46,Beacon,675,675 +16,23,16,Riverdale,23,Dobbs Ferry,425,425 +56,59,56,Fordham,59,Woodlawn,300,300 +49,20,49,New Hamburg,20,Greystone,1300,1300 +108,106,108,New Rochelle,106,Pelham,300,300 +46,51,46,Beacon,51,Poughkeepsie,425,425 +78,83,78,Valhalla,83,Chappaqua,300,300 +98,61,98,Pawling,61,Wakefield,1450,1450 +90,57,90,Croton Falls,57,Botanical Garden,1150,1150 +115,1,115,Port Chester,1,Grand Central,1375,1025 +42,17,42,Garrison,17,Ludlow,875,875 +101,66,101,Dover Plains,66,Tuckahoe,1525,1525 +55,99,55,Tremont,99,Appalachian Trail,1450,1450 +10,622,10,University Heights,622,Yankees-E153 St.,300,300 +27,37,27,Tarrytown,37,Cortlandt,300,300 +19,33,19,Glenwood,33,Croton-Harmon,500,500 +79,84,79,Mount Pleasant,84,Mount Kisco,300,300 +39,11,39,Peekskill,11,Marble Hill,800,800 +11,29,11,Marble Hill,29,Philipse Manor,575,575 +30,42,30,Scarborough,42,Garrison,675,675 +71,80,71,Scarsdale,80,Hawthorne,300,300 +91,58,91,Brewster,58,Williams Bridge,1150,1150 +177,61,177,Wassaic,61,Wakefield,1800,1800 +83,54,83,Chappaqua,54,Melrose,575,575 +25,49,25,Irvington,49,New Hamburg,1150,1150 +622,39,622,Yankees-E153 St.,39,Peekskill,800,800 +24,4,24,Ardsley-on-Hudson,4,Harlem-125th St.,1275,975 +22,43,22,Hastings-on-Hudson,43,Cold Spring,775,775 +1,20,1,Grand Central,20,Greystone,1150,875 +14,39,14,Spuyten Duyvil,39,Peekskill,800,800 +74,90,74,White Plains,90,Croton Falls,775,775 +66,86,66,Tuckahoe,86,Katonah,725,725 +85,99,85,Bedford Hills,99,Appalachian Trail,675,675 +86,64,86,Katonah,64,Fleetwood,725,725 +40,622,40,Manitou,622,Yankees-E153 St.,1150,1150 +49,33,49,New Hamburg,33,Croton-Harmon,825,825 +55,76,55,Tremont,76,North White Plains,425,425 +1,105,1,Grand Central,105,Mt Vernon East ,1125,850 +27,14,27,Tarrytown,14,Spuyten Duyvil,575,575 +59,83,59,Woodlawn,83,Chappaqua,575,575 +19,10,19,Glenwood,10,University Heights,300,300 +79,61,79,Mount Pleasant,61,Wakefield,575,575 +98,74,98,Pawling,74,White Plains,1150,1150 +30,19,30,Scarborough,19,Glenwood,500,500 +71,57,71,Scarsdale,57,Botanical Garden,425,425 +42,30,42,Garrison,30,Scarborough,675,675 +101,79,101,Dover Plains,79,Mount Pleasant,1200,1200 +54,4,54,Melrose,4,Harlem-125th St.,975,725 +20,11,20,Greystone,11,Marble Hill,300,300 +11,42,11,Marble Hill,42,Garrison,1150,1150 +31,20,31,Ossining,20,Greystone,500,500 +23,16,23,Dobbs Ferry,16,Riverdale,425,425 +177,74,177,Wassaic,74,White Plains,1475,1475 +10,46,10,University Heights,46,Beacon,1450,1450 +85,76,85,Bedford Hills,76,North White Plains,600,600 +49,10,49,New Hamburg,10,University Heights,1450,1450 +66,99,66,Tuckahoe,99,Appalachian Trail,1300,1300 +18,22,18,Yonkers,22,Hastings-on-Hudson,300,300 +97,86,97,Patterson,86,Katonah,675,675 +55,89,55,Tremont,89,Purdy's,1150,1150 +101,56,101,Dover Plains,56,Fordham,1675,1675 +40,46,40,Manitou,46,Beacon,425,425 +100,97,100,HM Valley-Wingdale,97,Patterson,425,425 +19,23,19,Glenwood,23,Dobbs Ferry,300,300 +39,1,39,Peekskill,1,Grand Central,1750,1325 +11,19,11,Marble Hill,19,Glenwood,300,300 +111,106,111,Mamaroneck,106,Pelham,300,300 +58,100,58,Williams Bridge,100,HM Valley-Wingdale,1675,1675 +81,83,81,Pleasantville,83,Chappaqua,300,300 +33,43,33,Croton-Harmon,43,Cold Spring,675,675 +25,39,25,Irvington,39,Peekskill,600,600 +622,29,622,Yankees-E153 St.,29,Philipse Manor,575,575 +4,16,4,Harlem-125th St.,16,Riverdale,975,725 +76,4,76,North White Plains,4,Harlem-125th St.,1275,975 +101,177,101,Dover Plains,177,Wassaic,300,300 +22,33,22,Hastings-on-Hudson,33,Croton-Harmon,300,300 +14,29,14,Spuyten Duyvil,29,Philipse Manor,575,575 +74,80,74,White Plains,80,Hawthorne,300,300 +66,76,66,Tuckahoe,76,North White Plains,300,300 +42,622,42,Garrison,622,Yankees-E153 St.,1150,1150 +86,54,86,Katonah,54,Melrose,800,800 +46,18,46,Beacon,18,Yonkers,1300,1300 +4,101,4,Harlem-125th St.,101,Dover Plains,2575,1925 +37,49,37,Cortlandt,49,New Hamburg,675,675 +85,89,85,Bedford Hills,89,Purdy's,300,300 +49,23,49,New Hamburg,23,Dobbs Ferry,1150,1150 +89,59,89,Purdy's,59,Woodlawn,1150,1150 +55,66,55,Tremont,66,Tuckahoe,300,300 +88,100,88,Goldens Bridge,100,HM Valley-Wingdale,825,825 +27,4,27,Tarrytown,4,Harlem-125th St.,1475,1125 +100,74,100,HM Valley-Wingdale,74,White Plains,1375,1375 +30,9,30,Scarborough,9,Morris Heights,575,575 +43,622,43,Cold Spring,622,Yankees-E153 St.,1150,1150 +106,4,106,Pelham,4,Harlem-125th St.,1125,850 +33,20,33,Croton-Harmon,20,Greystone,500,500 +177,64,177,Wassaic,64,Fleetwood,1600,1600 +62,83,62,Mt Vernon West,83,Chappaqua,500,500 +22,10,22,Hastings-on-Hudson,10,University Heights,425,425 +54,79,54,Melrose,79,Mount Pleasant,575,575 +74,57,74,White Plains,57,Botanical Garden,425,425 +99,1,99,Appalachian Trail,1,Grand Central,2300,1750 +622,42,622,Yankees-E153 St.,42,Garrison,1150,1150 +85,66,85,Bedford Hills,66,Tuckahoe,725,725 +57,4,57,Botanical Garden,4,Harlem-125th St.,975,725 +22,46,22,Hastings-on-Hudson,46,Beacon,1150,1150 +14,42,14,Spuyten Duyvil,42,Garrison,1150,1150 +1,72,1,Grand Central,72,Hartsdale,1275,975 +66,89,66,Tuckahoe,89,Purdy's,875,875 +99,86,99,Appalachian Trail,86,Katonah,675,675 +4,114,4,Harlem-125th St.,114,Rye,1375,1025 +89,72,89,Purdy's,72,Hartsdale,775,775 +9,49,9,Morris Heights,49,New Hamburg,1450,1450 +55,79,55,Tremont,79,Mount Pleasant,575,575 +29,27,29,Philipse Manor,27,Tarrytown,300,300 +1,108,1,Grand Central,108,New Rochelle,1125,850 +11,9,11,Marble Hill,9,Morris Heights,300,300 +58,90,58,Williams Bridge,90,Croton Falls,1150,1150 +24,622,24,Ardsley-on-Hudson,622,Yankees-E153 St.,425,425 +25,29,25,Irvington,29,Philipse Manor,300,300 +622,19,622,Yankees-E153 St.,19,Glenwood,300,300 +10,49,10,University Heights,49,New Hamburg,1450,1450 +22,23,22,Hastings-on-Hudson,23,Dobbs Ferry,300,300 +14,19,14,Spuyten Duyvil,19,Glenwood,300,300 +114,106,114,Rye,106,Pelham,400,400 +85,79,85,Bedford Hills,79,Mount Pleasant,300,300 +4,91,4,Harlem-125th St.,91,Brewster,2000,1500 +71,1,71,Scarsdale,1,Grand Central,1275,975 +55,56,55,Tremont,56,Fordham,300,300 +1,85,1,Grand Central,85,Bedford Hills,1750,1325 +88,90,88,Goldens Bridge,90,Croton Falls,300,300 +100,64,100,HM Valley-Wingdale,64,Fleetwood,1525,1525 +29,40,29,Philipse Manor,40,Manitou,675,675 +61,72,61,Wakefield,72,Hartsdale,425,425 +176,59,176,Tenmile River,59,Woodlawn,1800,1800 +40,49,40,Manitou,49,New Hamburg,425,425 +80,85,80,Hawthorne,85,Bedford Hills,300,300 +33,10,33,Croton-Harmon,10,University Heights,575,575 +72,1,72,Hartsdale,1,Grand Central,1275,975 +91,100,91,Brewster,100,HM Valley-Wingdale,650,650 +55,177,55,Tremont,177,Wassaic,1800,1800 +81,86,81,Pleasantville,86,Katonah,300,300 +25,42,25,Irvington,42,Garrison,775,775 +85,56,85,Bedford Hills,56,Fordham,800,800 +37,16,37,Cortlandt,16,Riverdale,800,800 +4,68,4,Harlem-125th St.,68,Crestwood,1150,875 +24,46,24,Ardsley-on-Hudson,46,Beacon,1150,1150 +84,97,84,Mount Kisco,97,Patterson,675,675 +1,62,1,Grand Central,62,Mt Vernon West,1150,875 +106,115,106,Pelham,115,Port Chester,400,400 +99,76,99,Appalachian Trail,76,North White Plains,1150,1150 +65,83,65,Bronxville,83,Chappaqua,500,500 +56,114,56,Fordham,114,Rye,500,500 +17,43,17,Ludlow,43,Cold Spring,875,875 +57,79,57,Botanical Garden,79,Mount Pleasant,575,575 +9,39,9,Morris Heights,39,Peekskill,800,800 +68,88,68,Crestwood,88,Goldens Bridge,725,725 +29,17,29,Philipse Manor,17,Ludlow,500,500 +80,62,80,Hawthorne,62,Mt Vernon West,500,500 +85,177,85,Bedford Hills,177,Wassaic,1000,1000 +58,80,58,Williams Bridge,80,Hawthorne,575,575 +115,56,115,Port Chester,56,Fordham,500,500 +61,85,61,Wakefield,85,Bedford Hills,800,800 +176,72,176,Tenmile River,72,Hartsdale,1475,1475 +80,98,80,Hawthorne,98,Pawling,825,825 +33,23,33,Croton-Harmon,23,Dobbs Ferry,300,300 +25,19,25,Irvington,19,Glenwood,300,300 +622,9,622,Yankees-E153 St.,9,Morris Heights,300,300 +10,39,10,University Heights,39,Peekskill,800,800 +51,40,51,Poughkeepsie,40,Manitou,650,650 +84,74,84,Mount Kisco,74,White Plains,600,600 +14,9,14,Spuyten Duyvil,9,Morris Heights,300,300 +66,56,66,Tuckahoe,56,Fordham,300,300 +4,81,4,Harlem-125th St.,81,Pleasantville,1475,1125 +72,99,72,Hartsdale,99,Appalachian Trail,1150,1150 +27,622,27,Tarrytown,622,Yankees-E153 St.,575,575 +56,91,56,Fordham,91,Brewster,1150,1150 +90,4,90,Croton Falls,4,Harlem-125th St.,2000,1500 +17,20,17,Ludlow,20,Greystone,300,300 +88,80,88,Goldens Bridge,80,Hawthorne,300,300 +99,89,99,Appalachian Trail,89,Purdy's,425,425 +100,54,100,HM Valley-Wingdale,54,Melrose,1675,1675 +58,57,58,Williams Bridge,57,Botanical Garden,300,300 +83,1,83,Chappaqua,1,Grand Central,1475,1125 +68,101,68,Crestwood,101,Dover Plains,1525,1525 +29,30,29,Philipse Manor,30,Scarborough,300,300 +61,62,61,Wakefield,62,Mt Vernon West,300,300 +66,177,66,Tuckahoe,177,Wassaic,1600,1600 +39,43,39,Peekskill,43,Cold Spring,300,300 +91,90,91,Brewster,90,Croton Falls,300,300 +51,17,51,Poughkeepsie,17,Ludlow,1525,1525 +10,16,10,University Heights,16,Riverdale,300,300 +83,86,83,Chappaqua,86,Katonah,300,300 +54,59,54,Melrose,59,Woodlawn,300,300 +4,58,4,Harlem-125th St.,58,Williams Bridge,975,725 +72,76,72,Hartsdale,76,North White Plains,300,300 +43,49,43,Cold Spring,49,New Hamburg,425,425 +88,57,88,Goldens Bridge,57,Botanical Garden,800,800 +106,105,106,Pelham,105,Mt Vernon East ,300,300 +99,66,99,Appalachian Trail,66,Tuckahoe,1300,1300 +71,4,71,Scarsdale,4,Harlem-125th St.,1275,975 +17,33,17,Ludlow,33,Croton-Harmon,500,500 +9,29,9,Morris Heights,29,Philipse Manor,575,575 +68,78,68,Crestwood,78,Valhalla,500,500 +40,16,40,Manitou,16,Riverdale,1150,1150 +176,62,176,Tenmile River,62,Mt Vernon West,1600,1600 +25,9,25,Irvington,9,Morris Heights,425,425 +20,43,20,Greystone,43,Cold Spring,875,875 +51,30,51,Poughkeepsie,30,Scarborough,1200,1200 +83,99,83,Chappaqua,99,Appalachian Trail,825,825 +84,64,84,Mount Kisco,64,Fleetwood,725,725 +1,29,1,Grand Central,29,Philipse Manor,1475,1125 +4,71,4,Harlem-125th St.,71,Scarsdale,1275,975 +72,89,72,Hartsdale,89,Purdy's,775,775 +24,49,24,Ardsley-on-Hudson,49,New Hamburg,1150,1150 +64,85,64,Fleetwood,85,Bedford Hills,725,725 +56,81,56,Fordham,81,Pleasantville,575,575 +17,10,17,Ludlow,10,University Heights,300,300 +76,59,76,North White Plains,59,Woodlawn,425,425 +68,55,68,Crestwood,55,Tremont,300,300 +1,65,1,Grand Central,65,Bronxville,1150,875 +99,79,99,Appalachian Trail,79,Mount Pleasant,825,825 +65,86,65,Bronxville,86,Katonah,725,725 +98,83,98,Pawling,83,Chappaqua,825,825 +68,91,68,Crestwood,91,Brewster,875,875 +42,39,42,Garrison,39,Peekskill,300,300 +101,88,101,Dover Plains,88,Goldens Bridge,825,825 +80,65,80,Hawthorne,65,Bronxville,500,500 +39,33,39,Peekskill,33,Croton-Harmon,300,300 +11,51,11,Marble Hill,51,Poughkeepsie,1675,1675 +31,29,31,Ossining,29,Philipse Manor,300,300 +91,80,91,Brewster,80,Hawthorne,675,675 +23,25,23,Dobbs Ferry,25,Irvington,300,300 +83,76,83,Chappaqua,76,North White Plains,300,300 +68,176,68,Crestwood,176,Tenmile River,1600,1600 +94,85,94,Southeast,85,Bedford Hills,300,300 +86,1,86,Katonah,1,Grand Central,1750,1325 +72,66,72,Hartsdale,66,Tuckahoe,300,300 +64,62,64,Fleetwood,62,Mt Vernon West,300,300 +43,39,43,Cold Spring,39,Peekskill,300,300 +16,22,16,Riverdale,22,Hastings-on-Hudson,425,425 +108,105,108,New Rochelle,105,Mt Vernon East ,300,300 +1,42,1,Grand Central,42,Garrison,2000,1500 +99,56,99,Appalachian Trail,56,Fordham,1450,1450 +64,98,64,Fleetwood,98,Pawling,1300,1300 +56,94,56,Fordham,94,Southeast,1150,1150 +17,23,17,Ludlow,23,Dobbs Ferry,300,300 +57,59,57,Botanical Garden,59,Woodlawn,300,300 +76,72,76,North White Plains,72,Hartsdale,300,300 +9,19,9,Morris Heights,19,Glenwood,300,300 +79,83,79,Mount Pleasant,83,Chappaqua,300,300 +39,10,39,Peekskill,10,University Heights,800,800 +71,79,71,Scarsdale,79,Mount Pleasant,300,300 +91,57,91,Brewster,57,Botanical Garden,1150,1150 +94,62,94,Southeast,62,Mt Vernon West,875,875 +74,4,74,White Plains,4,Harlem-125th St.,1275,975 +99,177,99,Appalachian Trail,177,Wassaic,450,450 +20,33,20,Greystone,33,Croton-Harmon,500,500 +39,46,39,Peekskill,46,Beacon,675,675 +31,42,31,Ossining,42,Garrison,675,675 +4,25,4,Harlem-125th St.,25,Irvington,1275,975 +51,20,51,Poughkeepsie,20,Greystone,1525,1525 +83,89,83,Chappaqua,89,Purdy's,675,675 +43,16,43,Cold Spring,16,Riverdale,1150,1150 +84,54,84,Mount Kisco,54,Melrose,800,800 +94,98,94,Southeast,98,Pawling,425,425 +1,19,1,Grand Central,19,Glenwood,1150,875 +4,61,4,Harlem-125th St.,61,Wakefield,975,725 +72,79,72,Hartsdale,79,Mount Pleasant,300,300 +46,27,46,Beacon,27,Tarrytown,825,825 +56,71,56,Fordham,71,Scarsdale,425,425 +86,99,86,Katonah,99,Appalachian Trail,675,675 +57,72,57,Botanical Garden,72,Hartsdale,425,425 +42,29,42,Garrison,29,Philipse Manor,675,675 +101,78,101,Dover Plains,78,Valhalla,1200,1200 +27,49,27,Tarrytown,49,New Hamburg,825,825 +20,10,20,Greystone,10,University Heights,300,300 +39,23,39,Peekskill,23,Dobbs Ferry,600,600 +31,19,31,Ossining,19,Glenwood,500,500 +83,66,83,Chappaqua,66,Tuckahoe,500,500 +622,51,622,Yankees-E153 St.,51,Poughkeepsie,1675,1675 +72,56,72,Hartsdale,56,Fordham,425,425 +24,16,24,Ardsley-on-Hudson,16,Riverdale,425,425 +80,176,80,Hawthorne,176,Tenmile River,1275,1275 +66,98,66,Tuckahoe,98,Pawling,1300,1300 +46,40,46,Beacon,40,Manitou,425,425 +86,76,86,Katonah,76,North White Plains,600,600 +56,84,56,Fordham,84,Mount Kisco,800,800 +97,85,97,Patterson,85,Bedford Hills,675,675 +89,81,89,Purdy's,81,Pleasantville,675,675 +68,58,68,Crestwood,58,Williams Bridge,300,300 +55,88,55,Tremont,88,Goldens Bridge,800,800 +101,55,101,Dover Plains,55,Tremont,1675,1675 +19,22,19,Glenwood,22,Hastings-on-Hudson,300,300 +72,177,72,Hartsdale,177,Wassaic,1475,1475 +11,18,11,Marble Hill,18,Yonkers,300,300 +98,86,98,Pawling,86,Katonah,675,675 +30,31,30,Scarborough,31,Ossining,300,300 +101,91,101,Dover Plains,91,Brewster,650,650 +20,23,20,Greystone,23,Dobbs Ferry,300,300 +112,106,112,Harrison,106,Pelham,300,300 +51,10,51,Poughkeepsie,10,University Heights,1675,1675 +177,86,177,Wassaic,86,Katonah,1000,1000 +115,111,115,Port Chester,111,Mamaroneck,375,375 +1,9,1,Grand Central,9,Morris Heights,975,725 +85,88,85,Bedford Hills,88,Goldens Bridge,300,300 +46,17,46,Beacon,17,Ludlow,1300,1300 +64,65,64,Fleetwood,65,Bronxville,300,300 +56,61,56,Fordham,61,Wakefield,300,300 +97,62,97,Patterson,62,Mt Vernon West,1300,1300 +49,22,49,New Hamburg,22,Hastings-on-Hudson,1150,1150 +86,89,86,Katonah,89,Purdy's,300,300 +59,72,59,Woodlawn,72,Hartsdale,425,425 +78,85,78,Valhalla,85,Bedford Hills,300,300 +97,98,97,Patterson,98,Pawling,300,300 +89,94,89,Purdy's,94,Southeast,300,300 +90,59,90,Croton Falls,59,Woodlawn,1150,1150 +42,19,42,Garrison,19,Glenwood,875,875 +55,101,55,Tremont,101,Dover Plains,1675,1675 +101,68,101,Dover Plains,68,Crestwood,1525,1525 +27,39,27,Tarrytown,39,Peekskill,300,300 +11,31,11,Marble Hill,31,Ossining,575,575 +31,9,31,Ossining,9,Morris Heights,575,575 +83,56,83,Chappaqua,56,Fordham,575,575 +94,65,94,Southeast,65,Bronxville,875,875 +25,51,25,Irvington,51,Poughkeepsie,1375,1375 +37,25,37,Cortlandt,25,Irvington,600,600 +66,88,66,Tuckahoe,88,Goldens Bridge,725,725 +100,1,100,HM Valley-Wingdale,1,Grand Central,2575,1925 +85,101,85,Bedford Hills,101,Dover Plains,825,825 +46,30,46,Beacon,30,Scarborough,825,825 +86,66,86,Katonah,66,Tuckahoe,725,725 +78,62,78,Valhalla,62,Mt Vernon West,500,500 +58,4,58,Williams Bridge,4,Harlem-125th St.,975,725 +83,177,83,Chappaqua,177,Wassaic,1275,1275 +89,71,89,Purdy's,71,Scarsdale,775,775 +55,78,55,Tremont,78,Valhalla,575,575 +27,16,27,Tarrytown,16,Riverdale,575,575 +59,85,59,Woodlawn,85,Bedford Hills,800,800 +78,98,78,Valhalla,98,Pawling,825,825 +71,59,71,Scarsdale,59,Woodlawn,425,425 +90,72,90,Croton Falls,72,Hartsdale,775,775 +23,18,23,Dobbs Ferry,18,Yonkers,300,300 +177,76,177,Wassaic,76,North White Plains,1475,1475 +54,91,54,Melrose,91,Brewster,1150,1150 +88,4,88,Goldens Bridge,4,Harlem-125th St.,1750,1325 +66,65,66,Tuckahoe,65,Bronxville,300,300 +85,78,85,Bedford Hills,78,Valhalla,300,300 +66,101,66,Tuckahoe,101,Dover Plains,1525,1525 +86,79,86,Katonah,79,Mount Pleasant,300,300 +18,24,18,Yonkers,24,Ardsley-on-Hudson,300,300 +59,62,59,Woodlawn,62,Mt Vernon West,300,300 +89,84,89,Purdy's,84,Mount Kisco,300,300 +42,9,42,Garrison,9,Morris Heights,1150,1150 +55,91,55,Tremont,91,Brewster,1150,1150 +101,58,101,Dover Plains,58,Williams Bridge,1675,1675 +29,39,29,Philipse Manor,39,Peekskill,300,300 +100,99,100,HM Valley-Wingdale,99,Appalachian Trail,425,425 +19,25,19,Glenwood,25,Irvington,300,300 +64,176,64,Fleetwood,176,Tenmile River,1600,1600 +111,108,111,Mamaroneck,108,New Rochelle,300,300 +176,94,176,Tenmile River,94,Southeast,750,750 +62,72,62,Mt Vernon West,72,Hartsdale,300,300 +81,85,81,Pleasantville,85,Bedford Hills,300,300 +622,31,622,Yankees-E153 St.,31,Ossining,575,575 +85,55,85,Bedford Hills,55,Tremont,800,800 +14,31,14,Spuyten Duyvil,31,Ossining,575,575 +106,114,106,Pelham,114,Rye,400,400 +66,78,66,Tuckahoe,78,Valhalla,500,500 +85,91,85,Bedford Hills,91,Brewster,300,300 +46,20,46,Beacon,20,Greystone,1300,1300 +18,1,18,Yonkers,1,Grand Central,1150,875 +86,56,86,Katonah,56,Fordham,800,800 +97,65,97,Patterson,65,Bronxville,1300,1300 +49,25,49,New Hamburg,25,Irvington,1150,1150 +89,61,89,Purdy's,61,Wakefield,1150,1150 +110,4,110,Larchmont,4,Harlem-125th St.,1275,975 +55,68,55,Tremont,68,Crestwood,300,300 +1,97,1,Grand Central,97,Patterson,2300,1750 +18,37,18,Yonkers,37,Cortlandt,725,725 +100,76,100,HM Valley-Wingdale,76,North White Plains,1375,1375 +30,11,30,Scarborough,11,Marble Hill,575,575 +176,71,176,Tenmile River,71,Scarsdale,1475,1475 +80,97,80,Hawthorne,97,Patterson,825,825 +81,62,81,Pleasantville,62,Mt Vernon West,500,500 +33,22,33,Croton-Harmon,22,Hastings-on-Hudson,300,300 +86,177,86,Katonah,177,Wassaic,1000,1000 +25,18,25,Irvington,18,Yonkers,300,300 +62,85,62,Mt Vernon West,85,Bedford Hills,725,725 +81,98,81,Pleasantville,98,Pawling,825,825 +54,81,54,Melrose,81,Pleasantville,575,575 +74,59,74,White Plains,59,Woodlawn,425,425 +66,55,66,Tuckahoe,55,Tremont,300,300 +85,68,85,Bedford Hills,68,Crestwood,725,725 +1,74,1,Grand Central,74,White Plains,1275,975 +88,79,88,Goldens Bridge,79,Mount Pleasant,300,300 +18,14,18,Yonkers,14,Spuyten Duyvil,300,300 +99,88,99,Appalachian Trail,88,Goldens Bridge,675,675 +78,65,78,Valhalla,65,Bronxville,500,500 +91,4,91,Brewster,4,Harlem-125th St.,2000,1500 +9,51,9,Morris Heights,51,Poughkeepsie,1675,1675 +68,100,68,Crestwood,100,HM Valley-Wingdale,1525,1525 +1,110,1,Grand Central,110,Larchmont,1275,975 +80,74,80,Hawthorne,74,White Plains,300,300 +66,176,66,Tuckahoe,176,Tenmile River,1600,1600 +100,89,100,HM Valley-Wingdale,89,Purdy's,650,650 +84,1,84,Mount Kisco,1,Grand Central,1750,1325 +61,97,61,Wakefield,97,Patterson,1450,1450 +176,84,176,Tenmile River,84,Mount Kisco,1000,1000 +54,58,54,Melrose,58,Williams Bridge,300,300 +25,31,25,Irvington,31,Ossining,300,300 +10,51,10,University Heights,51,Poughkeepsie,1675,1675 +84,86,84,Mount Kisco,86,Katonah,300,300 +22,25,22,Hastings-on-Hudson,25,Irvington,300,300 +54,94,54,Melrose,94,Southeast,1150,1150 +114,108,114,Rye,108,New Rochelle,400,400 +74,72,74,White Plains,72,Hartsdale,300,300 +66,68,66,Tuckahoe,68,Crestwood,300,300 +97,55,97,Patterson,55,Tremont,1450,1450 +76,81,76,North White Plains,81,Pleasantville,300,300 +55,58,55,Tremont,58,Williams Bridge,300,300 +99,101,99,Appalachian Trail,101,Dover Plains,425,425 +100,66,100,HM Valley-Wingdale,66,Tuckahoe,1525,1525 +29,42,29,Philipse Manor,42,Garrison,675,675 +61,74,61,Wakefield,74,White Plains,425,425 +176,61,176,Tenmile River,61,Wakefield,1800,1800 +40,51,40,Manitou,51,Poughkeepsie,650,650 +97,176,97,Patterson,176,Tenmile River,450,450 +110,115,110,Larchmont,115,Port Chester,375,375 +54,71,54,Melrose,71,Scarsdale,425,425 +85,58,85,Bedford Hills,58,Williams Bridge,800,800 +72,88,72,Hartsdale,88,Goldens Bridge,600,600 +84,99,84,Mount Kisco,99,Appalachian Trail,675,675 +1,64,1,Grand Central,64,Fleetwood,1150,875 +18,4,18,Yonkers,4,Harlem-125th St.,1150,875 +99,78,99,Appalachian Trail,78,Valhalla,825,825 +4,106,4,Harlem-125th St.,106,Pelham,1125,850 +65,85,65,Bronxville,85,Bedford Hills,725,725 +57,81,57,Botanical Garden,81,Pleasantville,575,575 +76,94,76,North White Plains,94,Southeast,775,775 +68,90,68,Crestwood,90,Croton Falls,875,875 +29,19,29,Philipse Manor,19,Glenwood,500,500 +80,64,80,Hawthorne,64,Fleetwood,500,500 +100,79,100,HM Valley-Wingdale,79,Mount Pleasant,1200,1200 +176,74,176,Tenmile River,74,White Plains,1475,1475 +81,65,81,Pleasantville,65,Bronxville,500,500 +622,11,622,Yankees-E153 St.,11,Marble Hill,300,300 +51,42,51,Poughkeepsie,42,Garrison,650,650 +84,76,84,Mount Kisco,76,North White Plains,600,600 +14,11,14,Spuyten Duyvil,11,Marble Hill,300,300 +66,58,66,Tuckahoe,58,Williams Bridge,300,300 +99,55,99,Appalachian Trail,55,Tremont,1450,1450 +4,83,4,Harlem-125th St.,83,Chappaqua,1475,1125 +72,101,72,Hartsdale,101,Dover Plains,1375,1375 +64,97,64,Fleetwood,97,Patterson,1300,1300 +65,62,65,Bronxville,62,Mt Vernon West,300,300 +17,22,17,Ludlow,22,Hastings-on-Hudson,300,300 +76,71,76,North White Plains,71,Scarsdale,300,300 +9,18,9,Morris Heights,18,Yonkers,300,300 +99,91,99,Appalachian Trail,91,Brewster,425,425 +100,56,100,HM Valley-Wingdale,56,Fordham,1675,1675 +65,98,65,Bronxville,98,Pawling,1300,1300 +57,94,57,Botanical Garden,94,Southeast,1150,1150 +58,59,58,Williams Bridge,59,Woodlawn,300,300 +42,51,42,Garrison,51,Poughkeepsie,650,650 +101,100,101,Dover Plains,100,HM Valley-Wingdale,300,300 +61,64,61,Wakefield,64,Fleetwood,300,300 +99,176,99,Appalachian Trail,176,Tenmile River,450,450 +10,18,10,University Heights,18,Yonkers,300,300 +51,19,51,Poughkeepsie,19,Glenwood,1525,1525 +110,105,110,Larchmont,105,Mt Vernon East ,300,300 +83,88,83,Chappaqua,88,Goldens Bridge,300,300 +62,65,62,Mt Vernon West,65,Bronxville,300,300 +54,61,54,Melrose,61,Wakefield,300,300 +94,97,94,Southeast,97,Patterson,425,425 +100,177,100,HM Valley-Wingdale,177,Wassaic,300,300 +72,78,72,Hartsdale,78,Valhalla,300,300 +105,112,105,Mt Vernon East ,112,Harrison,300,300 +64,74,64,Fleetwood,74,White Plains,300,300 +43,51,43,Cold Spring,51,Poughkeepsie,650,650 +84,89,84,Mount Kisco,89,Purdy's,300,300 +1,54,1,Grand Central,54,Melrose,975,725 +88,59,88,Goldens Bridge,59,Woodlawn,800,800 +99,68,99,Appalachian Trail,68,Crestwood,1300,1300 +56,106,56,Fordham,106,Pelham,300,300 +57,71,57,Botanical Garden,71,Scarsdale,425,425 +76,84,76,North White Plains,84,Mount Kisco,600,600 +9,31,9,Morris Heights,31,Ossining,575,575 +68,80,68,Crestwood,80,Hawthorne,500,500 +29,9,29,Philipse Manor,9,Morris Heights,575,575 +40,18,40,Manitou,18,Yonkers,875,875 +80,54,80,Hawthorne,54,Melrose,575,575 +58,72,58,Williams Bridge,72,Hartsdale,425,425 +71,91,71,Scarsdale,91,Brewster,775,775 +105,4,105,Mt Vernon East ,4,Harlem-125th St.,1125,850 +81,55,81,Pleasantville,55,Tremont,575,575 +94,74,94,Southeast,74,White Plains,775,775 +4,37,4,Harlem-125th St.,37,Cortlandt,1750,1325 +83,101,83,Chappaqua,101,Dover Plains,1200,1200 +84,66,84,Mount Kisco,66,Tuckahoe,725,725 +16,11,16,Riverdale,11,Marble Hill,300,300 +1,31,1,Grand Central,31,Ossining,1475,1125 +72,91,72,Hartsdale,91,Brewster,775,775 +24,51,24,Ardsley-on-Hudson,51,Poughkeepsie,1375,1375 +56,83,56,Fordham,83,Chappaqua,575,575 +76,61,76,North White Plains,61,Wakefield,425,425 +68,57,68,Crestwood,57,Botanical Garden,300,300 +81,176,81,Pleasantville,176,Tenmile River,1275,1275 +88,72,88,Goldens Bridge,72,Hartsdale,600,600 +57,84,57,Botanical Garden,84,Mount Kisco,800,800 +98,85,98,Pawling,85,Bedford Hills,675,675 +90,81,90,Croton Falls,81,Pleasantville,675,675 +61,54,61,Wakefield,54,Melrose,300,300 +101,90,101,Dover Plains,90,Croton Falls,650,650 +20,22,20,Greystone,22,Hastings-on-Hudson,300,300 +51,9,51,Poughkeepsie,9,Morris Heights,1675,1675 +177,85,177,Wassaic,85,Bedford Hills,1000,1000 +83,78,83,Chappaqua,78,Valhalla,300,300 +23,27,23,Dobbs Ferry,27,Tarrytown,300,300 +72,68,72,Hartsdale,68,Crestwood,300,300 +84,79,84,Mount Kisco,79,Mount Pleasant,300,300 +18,622,18,Yonkers,622,Yankees-E153 St.,300,300 +16,24,16,Riverdale,24,Ardsley-on-Hudson,425,425 +99,58,99,Appalachian Trail,58,Williams Bridge,1450,1450 +86,88,86,Katonah,88,Goldens Bridge,300,300 +57,61,57,Botanical Garden,61,Wakefield,300,300 +76,74,76,North White Plains,74,White Plains,300,300 +42,18,42,Garrison,18,Yonkers,875,875 +55,100,55,Tremont,100,HM Valley-Wingdale,1675,1675 +79,85,79,Mount Pleasant,85,Bedford Hills,300,300 +30,43,30,Scarborough,43,Cold Spring,675,675 +71,81,71,Scarsdale,81,Pleasantville,300,300 +90,94,90,Croton Falls,94,Southeast,300,300 +91,59,91,Brewster,59,Woodlawn,1150,1150 +83,55,83,Chappaqua,55,Tremont,575,575 +94,64,94,Southeast,64,Fleetwood,875,875 +4,27,4,Harlem-125th St.,27,Tarrytown,1475,1125 +51,22,51,Poughkeepsie,22,Hastings-on-Hudson,1375,1375 +177,98,177,Wassaic,98,Pawling,450,450 +23,40,23,Dobbs Ferry,40,Manitou,775,775 +84,56,84,Mount Kisco,56,Fordham,800,800 +16,1,16,Riverdale,1,Grand Central,975,725 +43,18,43,Cold Spring,18,Yonkers,875,875 +83,91,83,Chappaqua,91,Brewster,675,675 +72,81,72,Hartsdale,81,Pleasantville,300,300 +85,100,85,Bedford Hills,100,HM Valley-Wingdale,825,825 +46,29,46,Beacon,29,Philipse Manor,825,825 +105,115,105,Mt Vernon East ,115,Port Chester,400,400 +83,176,83,Chappaqua,176,Tenmile River,1275,1275 +86,101,86,Katonah,101,Dover Plains,825,825 +18,46,18,Yonkers,46,Beacon,1300,1300 +59,84,59,Woodlawn,84,Mount Kisco,800,800 +78,97,78,Valhalla,97,Patterson,825,825 +79,62,79,Mount Pleasant,62,Mt Vernon West,500,500 +30,20,30,Scarborough,20,Greystone,500,500 +84,177,84,Mount Kisco,177,Wassaic,1000,1000 +90,71,90,Croton Falls,71,Scarsdale,775,775 +42,31,42,Garrison,31,Ossining,675,675 +101,80,101,Dover Plains,80,Hawthorne,1200,1200 +27,51,27,Tarrytown,51,Poughkeepsie,1200,1200 +79,98,79,Mount Pleasant,98,Pawling,825,825 +39,25,39,Peekskill,25,Irvington,600,600 +11,43,11,Marble Hill,43,Cold Spring,1150,1150 +71,94,71,Scarsdale,94,Southeast,775,775 +91,72,91,Brewster,72,Hartsdale,775,775 +23,17,23,Dobbs Ferry,17,Ludlow,300,300 +83,68,83,Chappaqua,68,Crestwood,500,500 +72,58,72,Hartsdale,58,Williams Bridge,425,425 +4,40,4,Harlem-125th St.,40,Manitou,2000,1500 +24,18,24,Ardsley-on-Hudson,18,Yonkers,300,300 +64,54,64,Fleetwood,54,Melrose,300,300 +16,14,16,Riverdale,14,Spuyten Duyvil,300,300 +66,100,66,Tuckahoe,100,HM Valley-Wingdale,1525,1525 +46,42,46,Beacon,42,Garrison,425,425 +86,78,86,Katonah,78,Valhalla,300,300 +78,74,78,Valhalla,74,White Plains,300,300 +89,83,89,Purdy's,83,Chappaqua,675,675 +55,90,55,Tremont,90,Croton Falls,1150,1150 +101,57,101,Dover Plains,57,Botanical Garden,1675,1675 +59,97,59,Woodlawn,97,Patterson,1450,1450 +19,24,19,Glenwood,24,Ardsley-on-Hudson,300,300 +11,20,11,Marble Hill,20,Greystone,300,300 +98,88,98,Pawling,88,Goldens Bridge,675,675 +30,33,30,Scarborough,33,Croton-Harmon,300,300 +90,84,90,Croton Falls,84,Mount Kisco,300,300 +94,54,94,Southeast,54,Melrose,1150,1150 +20,25,20,Greystone,25,Irvington,300,300 +65,176,65,Bronxville,176,Tenmile River,1600,1600 +112,108,112,Harrison,108,New Rochelle,300,300 +4,17,4,Harlem-125th St.,17,Ludlow,1150,875 +177,88,177,Wassaic,88,Goldens Bridge,1000,1000 +23,30,23,Dobbs Ferry,30,Scarborough,300,300 +1,11,1,Grand Central,11,Marble Hill,975,725 +74,81,74,White Plains,81,Pleasantville,300,300 +85,90,85,Bedford Hills,90,Croton Falls,300,300 +46,19,46,Beacon,19,Glenwood,1300,1300 +86,55,86,Katonah,55,Tremont,800,800 +97,64,97,Patterson,64,Fleetwood,1300,1300 +49,24,49,New Hamburg,24,Ardsley-on-Hudson,1150,1150 +108,110,108,New Rochelle,110,Larchmont,300,300 +86,91,86,Katonah,91,Brewster,300,300 +59,74,59,Woodlawn,74,White Plains,425,425 +19,1,19,Glenwood,1,Grand Central,1150,875 +97,100,97,Patterson,100,HM Valley-Wingdale,425,425 +98,65,98,Pawling,65,Bronxville,1300,1300 +30,10,30,Scarborough,10,University Heights,575,575 +90,61,90,Croton Falls,61,Wakefield,1150,1150 +19,37,19,Glenwood,37,Cortlandt,725,725 +11,33,11,Marble Hill,33,Croton-Harmon,575,575 +71,84,71,Scarsdale,84,Mount Kisco,600,600 +31,11,31,Ossining,11,Marble Hill,575,575 +177,65,177,Wassaic,65,Bronxville,1600,1600 +83,58,83,Chappaqua,58,Williams Bridge,575,575 +81,97,81,Pleasantville,97,Patterson,825,825 +622,43,622,Yankees-E153 St.,43,Cold Spring,1150,1150 +37,27,37,Cortlandt,27,Tarrytown,300,300 +16,4,16,Riverdale,4,Harlem-125th St.,975,725 +49,1,49,New Hamburg,1,Grand Central,2300,1750 +14,43,14,Spuyten Duyvil,43,Cold Spring,1150,1150 +74,94,74,White Plains,94,Southeast,775,775 +66,90,66,Tuckahoe,90,Croton Falls,875,875 +86,68,86,Katonah,68,Crestwood,725,725 +4,115,4,Harlem-125th St.,115,Port Chester,1375,1025 +78,64,78,Valhalla,64,Fleetwood,500,500 +49,37,49,New Hamburg,37,Cortlandt,675,675 +55,80,55,Tremont,80,Hawthorne,575,575 +27,18,27,Tarrytown,18,Yonkers,500,500 +18,49,18,Yonkers,49,New Hamburg,1300,1300 +100,88,100,HM Valley-Wingdale,88,Goldens Bridge,825,825 +19,14,19,Glenwood,14,Spuyten Duyvil,300,300 +79,65,79,Mount Pleasant,65,Bronxville,500,500 +11,10,11,Marble Hill,10,University Heights,300,300 +30,23,30,Scarborough,23,Dobbs Ferry,300,300 +71,61,71,Scarsdale,61,Wakefield,425,425 +176,83,176,Tenmile River,83,Chappaqua,1275,1275 +25,30,25,Irvington,30,Scarborough,300,300 +622,20,622,Yankees-E153 St.,20,Greystone,300,300 +62,97,62,Mt Vernon West,97,Patterson,1300,1300 +22,24,22,Hastings-on-Hudson,24,Ardsley-on-Hudson,300,300 +14,20,14,Spuyten Duyvil,20,Greystone,300,300 +74,71,74,White Plains,71,Scarsdale,300,300 +85,80,85,Bedford Hills,80,Hawthorne,300,300 +46,9,46,Beacon,9,Morris Heights,1450,1450 +37,40,37,Cortlandt,40,Manitou,300,300 +97,54,97,Patterson,54,Melrose,1450,1450 +49,14,49,New Hamburg,14,Spuyten Duyvil,1450,1450 +55,57,55,Tremont,57,Botanical Garden,300,300 +1,86,1,Grand Central,86,Katonah,1750,1325 +80,1,80,Hawthorne,1,Grand Central,1475,1125 +59,64,59,Woodlawn,64,Fleetwood,300,300 +99,100,99,Appalachian Trail,100,HM Valley-Wingdale,425,425 +98,55,98,Pawling,55,Tremont,1450,1450 +42,11,42,Garrison,11,Marble Hill,1150,1150 +4,622,4,Harlem-125th St.,622,Yankees-E153 St.,975,725 +100,101,100,HM Valley-Wingdale,101,Dover Plains,300,300 +11,23,11,Marble Hill,23,Dobbs Ferry,425,425 +111,110,111,Mamaroneck,110,Larchmont,300,300 +177,55,177,Wassaic,55,Tremont,1800,1800 +10,27,10,University Heights,27,Tarrytown,575,575 +62,74,62,Mt Vernon West,74,White Plains,300,300 +25,43,25,Irvington,43,Cold Spring,775,775 +622,33,622,Yankees-E153 St.,33,Croton-Harmon,575,575 +85,57,85,Bedford Hills,57,Botanical Garden,800,800 +98,176,98,Pawling,176,Tenmile River,450,450 +37,17,37,Cortlandt,17,Ludlow,725,725 +22,37,22,Hastings-on-Hudson,37,Cortlandt,600,600 +68,4,68,Crestwood,4,Harlem-125th St.,1150,875 +14,33,14,Spuyten Duyvil,33,Croton-Harmon,575,575 +74,84,74,White Plains,84,Mount Kisco,600,600 +66,80,66,Tuckahoe,80,Hawthorne,500,500 +86,58,86,Katonah,58,Williams Bridge,800,800 +4,105,4,Harlem-125th St.,105,Mt Vernon East ,1125,850 +78,54,78,Valhalla,54,Melrose,575,575 +177,176,177,Wassaic,176,Tenmile River,300,300 +1,99,1,Grand Central,99,Appalachian Trail,2300,1750 +40,27,40,Manitou,27,Tarrytown,675,675 +19,4,19,Glenwood,4,Harlem-125th St.,1150,875 +100,78,100,HM Valley-Wingdale,78,Valhalla,1200,1200 +58,81,58,Williams Bridge,81,Pleasantville,575,575 +61,86,61,Wakefield,86,Katonah,800,800 +80,99,80,Hawthorne,99,Appalachian Trail,825,825 +81,64,81,Pleasantville,64,Fleetwood,500,500 +33,24,33,Croton-Harmon,24,Ardsley-on-Hudson,300,300 +25,20,25,Irvington,20,Greystone,300,300 +622,10,622,Yankees-E153 St.,10,University Heights,300,300 +10,40,10,University Heights,40,Manitou,1150,1150 +22,14,22,Hastings-on-Hudson,14,Spuyten Duyvil,425,425 +81,100,81,Pleasantville,100,HM Valley-Wingdale,1200,1200 +54,83,54,Melrose,83,Chappaqua,575,575 +14,10,14,Spuyten Duyvil,10,University Heights,300,300 +74,61,74,White Plains,61,Wakefield,425,425 +66,57,66,Tuckahoe,57,Botanical Garden,300,300 +37,30,37,Cortlandt,30,Scarborough,300,300 +49,4,49,New Hamburg,4,Harlem-125th St.,2300,1750 +1,76,1,Grand Central,76,North White Plains,1275,975 +88,81,88,Goldens Bridge,81,Pleasantville,300,300 +18,16,18,Yonkers,16,Riverdale,300,300 +59,54,59,Woodlawn,54,Melrose,300,300 +100,55,100,HM Valley-Wingdale,55,Tremont,1675,1675 +99,90,99,Appalachian Trail,90,Croton Falls,425,425 +65,97,65,Bronxville,97,Patterson,1300,1300 +29,31,29,Philipse Manor,31,Ossining,300,300 +80,76,80,Hawthorne,76,North White Plains,300,300 +100,91,100,HM Valley-Wingdale,91,Brewster,650,650 +33,1,33,Croton-Harmon,1,Grand Central,1475,1125 +58,94,58,Williams Bridge,94,Southeast,1150,1150 +10,17,10,University Heights,17,Ludlow,300,300 +61,99,61,Wakefield,99,Appalachian Trail,1450,1450 +176,86,176,Tenmile River,86,Katonah,1000,1000 +62,64,62,Mt Vernon West,64,Fleetwood,300,300 +33,37,33,Croton-Harmon,37,Cortlandt,300,300 +25,33,25,Irvington,33,Croton-Harmon,300,300 +622,23,622,Yankees-E153 St.,23,Dobbs Ferry,425,425 +84,88,84,Mount Kisco,88,Goldens Bridge,300,300 +22,27,22,Hastings-on-Hudson,27,Tarrytown,300,300 +14,23,14,Spuyten Duyvil,23,Dobbs Ferry,425,425 +114,110,114,Rye,110,Larchmont,375,375 +65,74,65,Bronxville,74,White Plains,300,300 +56,105,56,Fordham,105,Mt Vernon East ,300,300 +76,83,76,North White Plains,83,Chappaqua,300,300 +9,30,9,Morris Heights,30,Scarborough,575,575 +1,89,1,Grand Central,89,Purdy's,2000,1500 +88,94,88,Goldens Bridge,94,Southeast,300,300 +40,17,40,Manitou,17,Ludlow,875,875 +100,68,100,HM Valley-Wingdale,68,Crestwood,1525,1525 +58,71,58,Williams Bridge,71,Scarsdale,425,425 +61,76,61,Wakefield,76,North White Plains,425,425 +37,622,37,Cortlandt,622,Yankees-E153 St.,800,800 +81,54,81,Pleasantville,54,Melrose,575,575 +80,89,80,Hawthorne,89,Purdy's,675,675 +33,14,33,Croton-Harmon,14,Spuyten Duyvil,575,575 +25,10,25,Irvington,10,University Heights,425,425 +64,1,64,Fleetwood,1,Grand Central,1150,875 +10,30,10,University Heights,30,Scarborough,575,575 +51,31,51,Poughkeepsie,31,Ossining,1200,1200 +83,100,83,Chappaqua,100,HM Valley-Wingdale,1200,1200 +22,4,22,Hastings-on-Hudson,4,Harlem-125th St.,1275,975 +4,72,4,Harlem-125th St.,72,Hartsdale,1275,975 +72,90,72,Hartsdale,90,Croton Falls,775,775 +84,101,84,Mount Kisco,101,Dover Plains,825,825 +16,46,16,Riverdale,46,Beacon,1450,1450 +101,4,101,Dover Plains,4,Harlem-125th St.,2575,1925 +1,66,1,Grand Central,66,Tuckahoe,1150,875 +88,71,88,Goldens Bridge,71,Scarsdale,600,600 +99,80,99,Appalachian Trail,80,Hawthorne,825,825 +57,83,57,Botanical Garden,83,Chappaqua,575,575 +9,43,9,Morris Heights,43,Cold Spring,1150,1150 +94,1,94,Southeast,1,Grand Central,2000,1500 +40,30,40,Manitou,30,Scarborough,675,675 +80,66,80,Hawthorne,66,Tuckahoe,500,500 +58,84,58,Williams Bridge,84,Mount Kisco,800,800 +91,81,91,Brewster,81,Pleasantville,675,675 +61,89,61,Wakefield,89,Purdy's,1150,1150 +62,54,62,Mt Vernon West,54,Melrose,300,300 +176,76,176,Tenmile River,76,North White Plains,1475,1475 +94,86,94,Southeast,86,Katonah,300,300 +4,49,4,Harlem-125th St.,49,New Hamburg,2300,1750 +24,27,24,Ardsley-on-Hudson,27,Tarrytown,300,300 +43,40,43,Cold Spring,40,Manitou,300,300 +84,78,84,Mount Kisco,78,Valhalla,300,300 +1,43,1,Grand Central,43,Cold Spring,2000,1500 +99,57,99,Appalachian Trail,57,Botanical Garden,1450,1450 +4,85,4,Harlem-125th St.,85,Bedford Hills,1750,1325 +64,99,64,Fleetwood,99,Appalachian Trail,1300,1300 +65,64,65,Bronxville,64,Fleetwood,300,300 +19,622,19,Glenwood,622,Yankees-E153 St.,300,300 +17,24,17,Ludlow,24,Ardsley-on-Hudson,300,300 +9,20,9,Morris Heights,20,Greystone,300,300 +88,84,88,Goldens Bridge,84,Mount Kisco,300,300 +100,58,100,HM Valley-Wingdale,58,Williams Bridge,1675,1675 +98,97,98,Pawling,97,Patterson,300,300 +58,61,58,Williams Bridge,61,Wakefield,300,300 +61,66,61,Wakefield,66,Tuckahoe,300,300 +80,79,80,Hawthorne,79,Mount Pleasant,300,300 +33,4,33,Croton-Harmon,4,Harlem-125th St.,1475,1125 +66,1,66,Tuckahoe,1,Grand Central,1150,875 +31,43,31,Ossining,43,Cold Spring,675,675 +91,94,91,Brewster,94,Southeast,300,300 +177,97,177,Wassaic,97,Patterson,450,450 +23,39,23,Dobbs Ferry,39,Peekskill,600,600 +83,90,83,Chappaqua,90,Croton Falls,675,675 +43,17,43,Cold Spring,17,Ludlow,875,875 +84,55,84,Mount Kisco,55,Tremont,800,800 +94,99,94,Southeast,99,Appalachian Trail,425,425 +49,622,49,New Hamburg,622,Yankees-E153 St.,1450,1450 +4,62,4,Harlem-125th St.,62,Mt Vernon West,1150,875 +72,80,72,Hartsdale,80,Hawthorne,300,300 +105,114,105,Mt Vernon East ,114,Rye,400,400 +24,40,24,Ardsley-on-Hudson,40,Manitou,775,775 +64,76,64,Fleetwood,76,North White Plains,300,300 +56,72,56,Fordham,72,Hartsdale,425,425 +17,1,17,Ludlow,1,Grand Central,1150,875 +84,91,84,Mount Kisco,91,Brewster,300,300 +1,56,1,Grand Central,56,Fordham,975,725 +88,61,88,Goldens Bridge,61,Wakefield,800,800 +86,100,86,Katonah,100,HM Valley-Wingdale,825,825 +56,108,56,Fordham,108,New Rochelle,300,300 +17,37,17,Ludlow,37,Cortlandt,725,725 +76,86,76,North White Plains,86,Katonah,600,600 +9,33,9,Morris Heights,33,Croton-Harmon,575,575 +84,176,84,Mount Kisco,176,Tenmile River,1000,1000 +29,11,29,Philipse Manor,11,Marble Hill,575,575 +80,56,80,Hawthorne,56,Fordham,575,575 +19,46,19,Glenwood,46,Beacon,1300,1300 +79,97,79,Mount Pleasant,97,Patterson,825,825 +39,24,39,Peekskill,24,Ardsley-on-Hudson,600,600 +91,71,91,Brewster,71,Scarsdale,775,775 +1,177,1,Grand Central,177,Wassaic,2725,2025 +94,76,94,Southeast,76,North White Plains,775,775 +72,57,72,Hartsdale,57,Botanical Garden,425,425 +4,39,4,Harlem-125th St.,39,Peekskill,1750,1325 +24,17,24,Ardsley-on-Hudson,17,Ludlow,300,300 +97,1,97,Patterson,1,Grand Central,2300,1750 +43,30,43,Cold Spring,30,Scarborough,675,675 +84,68,84,Mount Kisco,68,Crestwood,725,725 +55,4,55,Tremont,4,Harlem-125th St.,975,725 +80,177,80,Hawthorne,177,Wassaic,1275,1275 +1,33,1,Grand Central,33,Croton-Harmon,1475,1125 +64,89,64,Fleetwood,89,Purdy's,875,875 +65,54,65,Bronxville,54,Melrose,300,300 +16,49,16,Riverdale,49,New Hamburg,1450,1450 +17,14,17,Ludlow,14,Spuyten Duyvil,300,300 +56,85,56,Fordham,85,Bedford Hills,800,800 +49,46,49,New Hamburg,46,Beacon,300,300 +9,10,9,Morris Heights,10,University Heights,300,300 +68,59,68,Crestwood,59,Woodlawn,300,300 +79,74,79,Mount Pleasant,74,White Plains,300,300 +90,83,90,Croton Falls,83,Chappaqua,675,675 +42,43,42,Garrison,43,Cold Spring,300,300 +61,56,61,Wakefield,56,Fordham,300,300 +22,622,22,Hastings-on-Hudson,622,Yankees-E153 St.,425,425 +20,24,20,Greystone,24,Ardsley-on-Hudson,300,300 +39,37,39,Peekskill,37,Cortlandt,300,300 +85,4,85,Bedford Hills,4,Harlem-125th St.,1750,1325 +31,33,31,Ossining,33,Croton-Harmon,300,300 +91,84,91,Brewster,84,Mount Kisco,300,300 +51,11,51,Poughkeepsie,11,Marble Hill,1675,1675 +23,29,23,Dobbs Ferry,29,Philipse Manor,300,300 +83,80,83,Chappaqua,80,Hawthorne,300,300 +115,112,115,Port Chester,112,Harrison,375,375 +94,89,94,Southeast,89,Purdy's,300,300 +1,10,1,Grand Central,10,University Heights,975,725 +78,1,78,Valhalla,1,Grand Central,1475,1125 +24,30,24,Ardsley-on-Hudson,30,Scarborough,300,300 +64,66,64,Fleetwood,66,Tuckahoe,300,300 +56,62,56,Fordham,62,Mt Vernon West,300,300 +61,177,61,Wakefield,177,Wassaic,1800,1800 +1,46,1,Grand Central,46,Beacon,2300,1750 +86,90,86,Katonah,90,Croton Falls,300,300 +78,86,78,Valhalla,86,Katonah,300,300 +97,99,97,Patterson,99,Appalachian Trail,300,300 +98,64,98,Pawling,64,Fleetwood,1300,1300 +68,72,68,Crestwood,72,Hartsdale,300,300 +115,4,115,Port Chester,4,Harlem-125th St.,1375,1025 +42,20,42,Garrison,20,Greystone,875,875 +27,40,27,Tarrytown,40,Manitou,675,675 +20,1,20,Greystone,1,Grand Central,1150,875 +39,14,39,Peekskill,14,Spuyten Duyvil,800,800 +98,100,98,Pawling,100,HM Valley-Wingdale,425,425 +71,83,71,Scarsdale,83,Chappaqua,300,300 +31,10,31,Ossining,10,University Heights,575,575 +91,61,91,Brewster,61,Wakefield,1150,1150 +83,57,83,Chappaqua,57,Botanical Garden,575,575 +108,1,108,New Rochelle,1,Grand Central,1125,850 +94,66,94,Southeast,66,Tuckahoe,875,875 +20,37,20,Greystone,37,Cortlandt,725,725 +66,4,66,Tuckahoe,4,Harlem-125th St.,1150,875 +4,29,4,Harlem-125th St.,29,Philipse Manor,1475,1125 +177,100,177,Wassaic,100,HM Valley-Wingdale,300,300 +23,42,23,Dobbs Ferry,42,Garrison,775,775 +43,20,43,Cold Spring,20,Greystone,875,875 +84,58,84,Mount Kisco,58,Williams Bridge,800,800 +1,23,1,Grand Central,23,Dobbs Ferry,1275,975 +46,31,46,Beacon,31,Ossining,825,825 +64,79,64,Fleetwood,79,Mount Pleasant,500,500 +17,4,17,Ludlow,4,Harlem-125th St.,1150,875 +97,76,97,Patterson,76,North White Plains,1150,1150 +27,17,27,Tarrytown,17,Ludlow,500,500 +59,86,59,Woodlawn,86,Katonah,800,800 +78,99,78,Valhalla,99,Appalachian Trail,825,825 +79,64,79,Mount Pleasant,64,Fleetwood,500,500 +33,622,33,Croton-Harmon,622,Yankees-E153 St.,575,575 +30,22,30,Scarborough,22,Hastings-on-Hudson,300,300 +42,33,42,Garrison,33,Croton-Harmon,675,675 +19,49,19,Glenwood,49,New Hamburg,1300,1300 +20,14,20,Greystone,14,Spuyten Duyvil,300,300 +39,27,39,Peekskill,27,Tarrytown,300,300 +31,23,31,Ossining,23,Dobbs Ferry,300,300 +91,74,91,Brewster,74,White Plains,775,775 +23,19,23,Dobbs Ferry,19,Glenwood,300,300 +51,1,51,Poughkeepsie,1,Grand Central,2575,1925 +94,79,94,Southeast,79,Mount Pleasant,675,675 +64,56,64,Fleetwood,56,Fordham,300,300 +37,39,37,Cortlandt,39,Peekskill,300,300 +86,80,86,Katonah,80,Hawthorne,300,300 +18,25,18,Yonkers,25,Irvington,300,300 +78,76,78,Valhalla,76,North White Plains,300,300 +97,89,97,Patterson,89,Purdy's,425,425 +98,54,98,Pawling,54,Melrose,1450,1450 +89,85,89,Purdy's,85,Bedford Hills,300,300 +42,10,42,Garrison,10,University Heights,1150,1150 +101,59,101,Dover Plains,59,Woodlawn,1675,1675 +81,1,81,Pleasantville,1,Grand Central,1475,1125 +27,30,27,Tarrytown,30,Scarborough,300,300 +59,99,59,Woodlawn,99,Appalachian Trail,1450,1450 +39,4,39,Peekskill,4,Harlem-125th St.,1750,1325 +11,22,11,Marble Hill,22,Hastings-on-Hudson,425,425 +64,177,64,Fleetwood,177,Wassaic,1600,1600 +90,86,90,Croton Falls,86,Katonah,300,300 +177,54,177,Wassaic,54,Melrose,1800,1800 +94,56,94,Southeast,56,Fordham,1150,1150 +33,46,33,Croton-Harmon,46,Beacon,825,825 +112,110,112,Harrison,110,Larchmont,300,300 +4,19,4,Harlem-125th St.,19,Glenwood,1150,875 +177,90,177,Wassaic,90,Croton Falls,750,750 +74,83,74,White Plains,83,Chappaqua,300,300 +66,79,66,Tuckahoe,79,Mount Pleasant,500,500 +86,57,86,Katonah,57,Botanical Garden,800,800 +111,1,111,Mamaroneck,1,Grand Central,1275,975 +56,65,56,Fordham,65,Bronxville,300,300 +97,66,97,Patterson,66,Tuckahoe,1300,1300 +89,62,89,Purdy's,62,Mt Vernon West,875,875 +94,177,94,Southeast,177,Wassaic,750,750 +1,98,1,Grand Central,98,Pawling,2300,1750 +59,76,59,Woodlawn,76,North White Plains,425,425 +78,89,78,Valhalla,89,Purdy's,675,675 +79,54,79,Mount Pleasant,54,Melrose,575,575 +89,98,89,Purdy's,98,Pawling,425,425 +42,23,42,Garrison,23,Dobbs Ferry,775,775 +101,72,101,Dover Plains,72,Hartsdale,1375,1375 +62,1,62,Mt Vernon West,1,Grand Central,1150,875 +20,4,20,Greystone,4,Harlem-125th St.,1150,875 +23,9,23,Dobbs Ferry,9,Morris Heights,425,425 +62,86,62,Mt Vernon West,86,Katonah,725,725 +81,99,81,Pleasantville,99,Appalachian Trail,825,825 +99,4,99,Appalachian Trail,4,Harlem-125th St.,2300,1750 +37,29,37,Cortlandt,29,Philipse Manor,300,300 +22,49,22,Hastings-on-Hudson,49,New Hamburg,1150,1150 +78,66,78,Valhalla,66,Tuckahoe,500,500 +97,79,97,Patterson,79,Mount Pleasant,825,825 +1,111,1,Grand Central,111,Mamaroneck,1275,975 +27,20,27,Tarrytown,20,Greystone,500,500 +40,39,40,Manitou,39,Peekskill,300,300 +59,89,59,Woodlawn,89,Purdy's,1150,1150 +19,16,19,Glenwood,16,Riverdale,300,300 +100,90,100,HM Valley-Wingdale,90,Croton Falls,650,650 +30,25,30,Scarborough,25,Irvington,300,300 +61,98,61,Wakefield,98,Pawling,1450,1450 +176,85,176,Tenmile River,85,Bedford Hills,1000,1000 +81,76,81,Pleasantville,76,North White Plains,300,300 +622,22,622,Yankees-E153 St.,22,Hastings-on-Hudson,425,425 +4,9,4,Harlem-125th St.,9,Morris Heights,975,725 +115,105,115,Port Chester,105,Mt Vernon East ,400,400 +62,99,62,Mt Vernon West,99,Appalachian Trail,1300,1300 +14,22,14,Spuyten Duyvil,22,Hastings-on-Hudson,425,425 +46,11,46,Beacon,11,Marble Hill,1450,1450 +4,94,4,Harlem-125th St.,94,Southeast,2000,1500 +37,42,37,Cortlandt,42,Garrison,300,300 +97,56,97,Patterson,56,Fordham,1450,1450 +49,16,49,New Hamburg,16,Riverdale,1450,1450 +55,59,55,Tremont,59,Woodlawn,300,300 +1,88,1,Grand Central,88,Goldens Bridge,1750,1325 +59,66,59,Woodlawn,66,Tuckahoe,300,300 +29,43,29,Philipse Manor,43,Cold Spring,675,675 +80,88,80,Hawthorne,88,Goldens Bridge,300,300 +114,1,114,Rye,1,Grand Central,1375,1025 +111,112,111,Mamaroneck,112,Harrison,300,300 +72,4,72,Hartsdale,4,Harlem-125th St.,1275,975 +97,177,97,Patterson,177,Wassaic,450,450 +177,57,177,Wassaic,57,Botanical Garden,1800,1800 +10,29,10,University Heights,29,Philipse Manor,575,575 +176,98,176,Tenmile River,98,Pawling,450,450 +62,76,62,Mt Vernon West,76,North White Plains,300,300 +81,89,81,Pleasantville,89,Purdy's,675,675 +54,72,54,Melrose,72,Hartsdale,425,425 +33,49,33,Croton-Harmon,49,New Hamburg,825,825 +85,59,85,Bedford Hills,59,Woodlawn,800,800 +37,19,37,Cortlandt,19,Glenwood,725,725 +65,1,65,Bronxville,1,Grand Central,1150,875 +84,100,84,Mount Kisco,100,HM Valley-Wingdale,825,825 +22,39,22,Hastings-on-Hudson,39,Peekskill,600,600 +78,56,78,Valhalla,56,Fordham,575,575 +89,65,89,Purdy's,65,Bronxville,875,875 +17,46,17,Ludlow,46,Beacon,1300,1300 +39,622,39,Peekskill,622,Yankees-E153 St.,800,800 +9,42,9,Morris Heights,42,Garrison,1150,1150 +55,72,55,Tremont,72,Hartsdale,425,425 +29,20,29,Philipse Manor,20,Greystone,500,500 +1,101,1,Grand Central,101,Dover Plains,2575,1925 +40,29,40,Manitou,29,Philipse Manor,675,675 +100,80,100,HM Valley-Wingdale,80,Hawthorne,1200,1200 +58,83,58,Williams Bridge,83,Chappaqua,575,575 +61,88,61,Wakefield,88,Goldens Bridge,800,800 +80,101,80,Hawthorne,101,Dover Plains,1200,1200 +81,66,81,Pleasantville,66,Tuckahoe,500,500 +25,22,25,Irvington,22,Hastings-on-Hudson,300,300 +78,177,78,Valhalla,177,Wassaic,1275,1275 +10,42,10,University Heights,42,Garrison,1150,1150 +51,43,51,Poughkeepsie,43,Cold Spring,650,650 +62,89,62,Mt Vernon West,89,Purdy's,875,875 +108,56,108,New Rochelle,56,Fordham,300,300 +22,16,22,Hastings-on-Hudson,16,Riverdale,425,425 +54,85,54,Melrose,85,Bedford Hills,800,800 +66,59,66,Tuckahoe,59,Woodlawn,300,300 +85,72,85,Bedford Hills,72,Hartsdale,600,600 +4,84,4,Harlem-125th St.,84,Mount Kisco,1750,1325 +1,78,1,Grand Central,78,Valhalla,1475,1125 +88,83,88,Goldens Bridge,83,Chappaqua,300,300 +59,56,59,Woodlawn,56,Fordham,300,300 +100,57,100,HM Valley-Wingdale,57,Botanical Garden,1675,1675 +65,99,65,Bronxville,99,Appalachian Trail,1300,1300 +20,622,20,Greystone,622,Yankees-E153 St.,300,300 +83,4,83,Chappaqua,4,Harlem-125th St.,1475,1125 +29,33,29,Philipse Manor,33,Croton-Harmon,300,300 +61,65,61,Wakefield,65,Bronxville,300,300 +80,78,80,Hawthorne,78,Valhalla,300,300 +40,42,40,Manitou,42,Garrison,300,300 +10,19,10,University Heights,19,Glenwood,300,300 +110,106,110,Larchmont,106,Pelham,300,300 +61,101,61,Wakefield,101,Dover Plains,1675,1675 +176,88,176,Tenmile River,88,Goldens Bridge,1000,1000 +62,66,62,Mt Vernon West,66,Tuckahoe,300,300 +81,79,81,Pleasantville,79,Mount Pleasant,300,300 +54,62,54,Melrose,62,Mt Vernon West,300,300 +59,177,59,Woodlawn,177,Wassaic,1800,1800 +37,9,37,Cortlandt,9,Morris Heights,800,800 +24,39,24,Ardsley-on-Hudson,39,Peekskill,600,600 +84,90,84,Mount Kisco,90,Croton Falls,300,300 +14,25,14,Spuyten Duyvil,25,Irvington,425,425 +114,112,114,Rye,112,Harrison,375,375 +1,55,1,Grand Central,55,Tremont,975,725 +106,108,106,Pelham,108,New Rochelle,300,300 +4,97,4,Harlem-125th St.,97,Patterson,2300,1750 +65,76,65,Bronxville,76,North White Plains,300,300 +76,85,76,North White Plains,85,Bedford Hills,600,600 +68,81,68,Crestwood,81,Pleasantville,500,500 +29,10,29,Philipse Manor,10,University Heights,575,575 +1,91,1,Grand Central,91,Brewster,2000,1500 +40,19,40,Manitou,19,Glenwood,875,875 +80,55,80,Hawthorne,55,Tremont,575,575 +61,78,61,Wakefield,78,Valhalla,575,575 +176,65,176,Tenmile River,65,Bronxville,1600,1600 +1,176,1,Grand Central,176,Tenmile River,2725,2025 +81,56,81,Pleasantville,56,Fordham,575,575 +80,91,80,Hawthorne,91,Brewster,675,675 +33,16,33,Croton-Harmon,16,Riverdale,575,575 +20,46,20,Greystone,46,Beacon,1300,1300 +51,33,51,Poughkeepsie,33,Croton-Harmon,1200,1200 +23,51,23,Dobbs Ferry,51,Poughkeepsie,1375,1375 +43,29,43,Cold Spring,29,Philipse Manor,675,675 +4,74,4,Harlem-125th St.,74,White Plains,1275,975 +64,88,64,Fleetwood,88,Goldens Bridge,725,725 +98,1,98,Pawling,1,Grand Central,2300,1750 +76,62,76,North White Plains,62,Mt Vernon West,300,300 +81,177,81,Pleasantville,177,Wassaic,1275,1275 +1,68,1,Grand Central,68,Crestwood,1150,875 +65,89,65,Bronxville,89,Purdy's,875,875 +111,56,111,Mamaroneck,56,Fordham,425,425 +17,49,17,Ludlow,49,New Hamburg,1300,1300 +57,85,57,Botanical Garden,85,Bedford Hills,800,800 +177,1,177,Wassaic,1,Grand Central,2725,2025 +76,98,76,North White Plains,98,Pawling,1150,1150 +68,94,68,Crestwood,94,Southeast,875,875 +29,23,29,Philipse Manor,23,Dobbs Ferry,300,300 +61,55,61,Wakefield,55,Tremont,300,300 +80,68,80,Hawthorne,68,Crestwood,500,500 +10,9,10,University Heights,9,Morris Heights,300,300 +91,83,91,Brewster,83,Chappaqua,675,675 +83,79,83,Chappaqua,79,Mount Pleasant,300,300 +62,56,62,Mt Vernon West,56,Fordham,300,300 +94,88,94,Southeast,88,Goldens Bridge,300,300 +86,4,86,Katonah,4,Harlem-125th St.,1750,1325 +4,51,4,Harlem-125th St.,51,Poughkeepsie,2575,1925 +51,46,51,Poughkeepsie,46,Beacon,425,425 +24,29,24,Ardsley-on-Hudson,29,Philipse Manor,300,300 +43,42,43,Cold Spring,42,Garrison,300,300 +84,80,84,Mount Kisco,80,Hawthorne,300,300 +16,25,16,Riverdale,25,Irvington,425,425 +61,176,61,Wakefield,176,Tenmile River,1800,1800 +99,59,99,Appalachian Trail,59,Woodlawn,1450,1450 +79,1,79,Mount Pleasant,1,Grand Central,1475,1125 +64,101,64,Fleetwood,101,Dover Plains,1525,1525 +65,66,65,Bronxville,66,Tuckahoe,300,300 +56,97,56,Fordham,97,Patterson,1450,1450 +57,62,57,Botanical Garden,62,Mt Vernon West,300,300 +9,22,9,Morris Heights,22,Hastings-on-Hudson,425,425 +62,177,62,Mt Vernon West,177,Wassaic,1600,1600 +68,71,68,Crestwood,71,Scarsdale,300,300 +40,9,40,Manitou,9,Morris Heights,1150,1150 +79,86,79,Mount Pleasant,86,Katonah,300,300 +98,99,98,Pawling,99,Appalachian Trail,300,300 +61,68,61,Wakefield,68,Crestwood,300,300 +176,55,176,Tenmile River,55,Tremont,1800,1800 +39,49,39,Peekskill,49,New Hamburg,675,675 +51,23,51,Poughkeepsie,23,Dobbs Ferry,1375,1375 +177,99,177,Wassaic,99,Appalachian Trail,450,450 +43,19,43,Cold Spring,19,Glenwood,875,875 +84,57,84,Mount Kisco,57,Botanical Garden,800,800 +94,101,94,Southeast,101,Dover Plains,650,650 +1,22,1,Grand Central,22,Hastings-on-Hudson,1275,975 +4,64,4,Harlem-125th St.,64,Fleetwood,1150,875 +24,42,24,Ardsley-on-Hudson,42,Garrison,775,775 +64,78,64,Fleetwood,78,Valhalla,500,500 +56,74,56,Fordham,74,White Plains,425,425 +1,58,1,Grand Central,58,Williams Bridge,975,725 +99,72,99,Appalachian Trail,72,Hartsdale,1150,1150 +65,79,65,Bronxville,79,Mount Pleasant,500,500 +56,110,56,Fordham,110,Larchmont,425,425 +98,76,98,Pawling,76,North White Plains,1150,1150 +68,84,68,Crestwood,84,Mount Kisco,725,725 +101,81,101,Dover Plains,81,Pleasantville,1200,1200 +80,58,80,Hawthorne,58,Williams Bridge,575,575 +79,99,79,Mount Pleasant,99,Appalachian Trail,825,825 +31,22,31,Ossining,22,Hastings-on-Hudson,300,300 +94,78,94,Southeast,78,Valhalla,675,675 +114,56,114,Rye,56,Fordham,500,500 +20,49,20,Greystone,49,New Hamburg,1300,1300 +72,59,72,Hartsdale,59,Woodlawn,425,425 +24,19,24,Ardsley-on-Hudson,19,Glenwood,300,300 +64,55,64,Fleetwood,55,Tremont,300,300 +46,43,46,Beacon,43,Cold Spring,425,425 +64,91,64,Fleetwood,91,Brewster,875,875 +65,56,65,Bronxville,56,Fordham,300,300 +17,16,17,Ludlow,16,Riverdale,300,300 +97,88,97,Patterson,88,Goldens Bridge,675,675 +76,65,76,North White Plains,65,Bronxville,300,300 +68,61,68,Crestwood,61,Wakefield,300,300 +27,29,27,Tarrytown,29,Philipse Manor,300,300 +59,98,59,Woodlawn,98,Pawling,1450,1450 +79,76,79,Mount Pleasant,76,North White Plains,300,300 +98,89,98,Pawling,89,Purdy's,425,425 +71,72,71,Scarsdale,72,Hartsdale,300,300 +90,85,90,Croton Falls,85,Bedford Hills,300,300 +61,58,61,Wakefield,58,Williams Bridge,300,300 +101,94,101,Dover Plains,94,Southeast,650,650 +94,55,94,Southeast,55,Tremont,1150,1150 +65,177,65,Bronxville,177,Wassaic,1600,1600 +4,18,4,Harlem-125th St.,18,Yonkers,1150,875 +91,86,91,Brewster,86,Katonah,300,300 +177,89,177,Wassaic,89,Purdy's,750,750 +23,31,23,Dobbs Ferry,31,Ossining,300,300 +43,9,43,Cold Spring,9,Morris Heights,1150,1150 +115,114,115,Port Chester,114,Rye,300,300 +94,91,94,Southeast,91,Brewster,300,300 +4,54,4,Harlem-125th St.,54,Melrose,975,725 +105,106,105,Mt Vernon East ,106,Pelham,300,300 +37,51,37,Cortlandt,51,Poughkeepsie,825,825 +64,68,64,Fleetwood,68,Crestwood,300,300 +56,64,56,Fordham,64,Fleetwood,300,300 +108,111,108,New Rochelle,111,Mamaroneck,300,300 +94,176,94,Southeast,176,Tenmile River,750,750 +78,88,78,Valhalla,88,Goldens Bridge,300,300 +112,1,112,Harrison,1,Grand Central,1275,975 +57,65,57,Botanical Garden,65,Bronxville,300,300 +98,66,98,Pawling,66,Tuckahoe,1300,1300 +97,101,97,Patterson,101,Dover Plains,425,425 +89,97,89,Purdy's,97,Patterson,425,425 +90,62,90,Croton Falls,62,Mt Vernon West,875,875 +42,22,42,Garrison,22,Hastings-on-Hudson,775,775 +101,71,101,Dover Plains,71,Scarsdale,1375,1375 +27,42,27,Tarrytown,42,Garrison,675,675 +79,89,79,Mount Pleasant,89,Purdy's,675,675 +39,16,39,Peekskill,16,Riverdale,800,800 +71,85,71,Scarsdale,85,Bedford Hills,600,600 +90,98,90,Croton Falls,98,Pawling,425,425 +177,66,177,Wassaic,66,Tuckahoe,1600,1600 +83,59,83,Chappaqua,59,Woodlawn,575,575 +94,68,94,Southeast,68,Crestwood,875,875 +4,31,4,Harlem-125th St.,31,Ossining,1475,1125 +24,9,24,Ardsley-on-Hudson,9,Morris Heights,425,425 +1,25,1,Grand Central,25,Irvington,1275,975 +66,91,66,Tuckahoe,91,Brewster,875,875 +100,4,100,HM Valley-Wingdale,4,Harlem-125th St.,2575,1925 +46,33,46,Beacon,33,Croton-Harmon,825,825 +97,78,97,Patterson,78,Valhalla,825,825 +76,55,76,North White Plains,55,Tremont,425,425 +89,74,89,Purdy's,74,White Plains,775,775 +55,81,55,Tremont,81,Pleasantville,575,575 +27,19,27,Tarrytown,19,Glenwood,500,500 +59,88,59,Woodlawn,88,Goldens Bridge,800,800 +78,101,78,Valhalla,101,Dover Plains,1200,1200 +79,66,79,Mount Pleasant,66,Tuckahoe,500,500 +98,79,98,Pawling,79,Mount Pleasant,825,825 +30,24,30,Scarborough,24,Ardsley-on-Hudson,300,300 +71,62,71,Scarsdale,62,Mt Vernon West,300,300 +101,84,101,Dover Plains,84,Mount Kisco,825,825 +19,51,19,Glenwood,51,Poughkeepsie,1525,1525 +20,16,20,Greystone,16,Riverdale,300,300 +31,25,31,Ossining,25,Irvington,300,300 +177,79,177,Wassaic,79,Mount Pleasant,1275,1275 +76,176,76,North White Plains,176,Tenmile River,1475,1475 +83,72,83,Chappaqua,72,Hartsdale,300,300 +62,98,62,Mt Vernon West,98,Pawling,1300,1300 +72,62,72,Hartsdale,62,Mt Vernon West,300,300 +85,81,85,Bedford Hills,81,Pleasantville,300,300 +46,10,46,Beacon,10,University Heights,1450,1450 +64,58,64,Fleetwood,58,Williams Bridge,300,300 +56,54,56,Fordham,54,Melrose,300,300 +18,27,18,Yonkers,27,Tarrytown,500,500 +59,65,59,Woodlawn,65,Bronxville,300,300 +97,91,97,Patterson,91,Brewster,425,425 +98,56,98,Pawling,56,Fordham,1450,1450 +30,1,30,Scarborough,1,Grand Central,1475,1125 +55,94,55,Tremont,94,Southeast,1150,1150 +101,61,101,Dover Plains,61,Wakefield,1675,1675 +59,101,59,Woodlawn,101,Dover Plains,1675,1675 +11,24,11,Marble Hill,24,Ardsley-on-Hudson,425,425 +30,37,30,Scarborough,37,Cortlandt,300,300 +177,56,177,Wassaic,56,Fordham,1800,1800 +94,58,94,Southeast,58,Williams Bridge,1150,1150 +176,97,176,Tenmile River,97,Patterson,450,450 +81,88,81,Pleasantville,88,Goldens Bridge,300,300 +98,177,98,Pawling,177,Wassaic,450,450 +37,18,37,Cortlandt,18,Yonkers,725,725 +74,85,74,White Plains,85,Bedford Hills,600,600 +66,81,66,Tuckahoe,81,Pleasantville,500,500 +85,94,85,Bedford Hills,94,Southeast,300,300 +46,23,46,Beacon,23,Dobbs Ferry,1150,1150 +86,59,86,Katonah,59,Woodlawn,800,800 +78,55,78,Valhalla,55,Tremont,575,575 +97,68,97,Patterson,68,Crestwood,1300,1300 +89,64,89,Purdy's,64,Fleetwood,875,875 +55,71,55,Tremont,71,Scarsdale,425,425 +1,100,1,Grand Central,100,HM Valley-Wingdale,2575,1925 +27,9,27,Tarrytown,9,Morris Heights,575,575 +18,40,18,Yonkers,40,Manitou,875,875 +59,78,59,Woodlawn,78,Valhalla,575,575 +78,91,78,Valhalla,91,Brewster,675,675 +79,56,79,Mount Pleasant,56,Fordham,575,575 +11,1,11,Marble Hill,1,Grand Central,975,725 +30,14,30,Scarborough,14,Spuyten Duyvil,575,575 +90,65,90,Croton Falls,65,Bronxville,875,875 +101,74,101,Dover Plains,74,White Plains,1375,1375 +80,100,80,Hawthorne,100,HM Valley-Wingdale,1200,1200 +33,25,33,Croton-Harmon,25,Irvington,300,300 +78,176,78,Valhalla,176,Tenmile River,1275,1275 +23,11,23,Dobbs Ferry,11,Marble Hill,425,425 +62,88,62,Mt Vernon West,88,Goldens Bridge,725,725 +81,101,81,Pleasantville,101,Dover Plains,1200,1200 +54,84,54,Melrose,84,Mount Kisco,800,800 +74,62,74,White Plains,62,Mt Vernon West,300,300 +79,177,79,Mount Pleasant,177,Wassaic,1275,1275 +85,71,85,Bedford Hills,71,Scarsdale,600,600 +37,31,37,Cortlandt,31,Ossining,300,300 +22,51,22,Hastings-on-Hudson,51,Poughkeepsie,1375,1375 +74,98,74,White Plains,98,Pawling,1150,1150 +66,94,66,Tuckahoe,94,Southeast,875,875 diff --git a/src/main/resources/fares/nyc/mta/express_bus_routes.csv b/src/main/resources/fares/nyc/mta/express_bus_routes.csv new file mode 100644 index 00000000..81595c9a --- /dev/null +++ b/src/main/resources/fares/nyc/mta/express_bus_routes.csv @@ -0,0 +1,80 @@ +agency_id,route_id +MTABC,BM1 +MTABC,BM2 +MTABC,BM3 +MTABC,BM4 +MTABC,BM5 +MTABC,BXM1 +MTABC,BXM10 +MTABC,BXM11 +MTABC,BXM18 +MTABC,BXM2 +MTABC,BXM3 +MTABC,BXM4 +MTABC,BXM6 +MTABC,BXM7 +MTABC,BXM8 +MTABC,BXM9 +MTA NYCT,SIM1 +MTA NYCT,SIM1C +MTA NYCT,SIM2 +MTA NYCT,SIM3 +MTA NYCT,SIM3C +MTA NYCT,SIM4 +MTA NYCT,SIM4X +MTA NYCT,SIM4C +MTA NYCT,SIM5 +MTA NYCT,SIM6 +MTA NYCT,SIM7 +MTA NYCT,SIM8 +MTA NYCT,SIM8X +MTA NYCT,SIM9 +MTA NYCT,SIM10 +MTA NYCT,SIM11 +MTA NYCT,SIM15 +MTA NYCT,SIM22 +MTA NYCT,SIM23 +MTA NYCT,SIM24 +MTA NYCT,SIM25 +MTA NYCT,SIM26 +MTA NYCT,SIM30 +MTA NYCT,SIM31 +MTA NYCT,SIM32 +MTA NYCT,SIM33 +MTA NYCT,SIM33C +MTA NYCT,SIM34 +MTA NYCT,SIM35 +MTA NYCT,X27 +MTA NYCT,X28 +MTA NYCT,X37 +MTA NYCT,X38 +MTA NYCT,X63 +MTA NYCT,X64 +MTA NYCT,X68 +MTABC,QM1 +MTABC,QM10 +MTABC,QM11 +MTABC,QM12 +MTABC,QM15 +MTABC,QM16 +MTABC,QM17 +MTABC,QM18 +MTABC,QM2 +MTABC,QM20 +MTABC,QM21 +MTABC,QM24 +MTABC,QM25 +MTABC,QM3 +MTABC,QM31 +MTABC,QM32 +MTABC,QM34 +MTABC,QM35 +MTABC,QM36 +MTABC,QM4 +MTABC,QM40 +MTABC,QM42 +MTABC,QM44 +MTABC,QM5 +MTABC,QM6 +MTABC,QM7 +MTABC,QM8 diff --git a/src/main/resources/fares/nyc/mta/subway_transfers.csv b/src/main/resources/fares/nyc/mta/subway_transfers.csv new file mode 100644 index 00000000..c0dcca61 --- /dev/null +++ b/src/main/resources/fares/nyc/mta/subway_transfers.csv @@ -0,0 +1,549 @@ +fare_area_id,stop_id +nyct_subway_103_st_ind_8_av,nyct_subway_A18N +nyct_subway_103_st_ind_8_av,nyct_subway_A18S +nyct_subway_103_st_irt_lex_av,nyct_subway_624N +nyct_subway_103_st_irt_lex_av,nyct_subway_624S +nyct_subway_104_st_bmt_jamaica,nyct_subway_J14N +nyct_subway_104_st_bmt_jamaica,nyct_subway_J14S +nyct_subway_121_st,nyct_subway_J12N +nyct_subway_121_st,nyct_subway_J12S +nyct_subway_125_st_ind_8av,nyct_subway_A15N +nyct_subway_125_st_ind_8av,nyct_subway_A15S +nyct_subway_125th_st_irt_lex_av,nyct_subway_621N +nyct_subway_125th_st_irt_lex_av,nyct_subway_621S +nyct_subway_138_st,nyct_subway_416N +nyct_subway_138_st,nyct_subway_416S +nyct_subway_14th_st_6-7_av,nyct_subway_L02N +nyct_subway_14th_st_6-7_av,nyct_subway_L02S +nyct_subway_14th_st_6-7_av,nyct_subway_D19N +nyct_subway_14th_st_6-7_av,nyct_subway_D19S +nyct_subway_14th_st_6-7_av,nyct_subway_132N +nyct_subway_14th_st_6-7_av,nyct_subway_132S +nyct_subway_14th_st_8_av,nyct_subway_L01N +nyct_subway_14th_st_8_av,nyct_subway_L01S +nyct_subway_14th_st_8_av,nyct_subway_A31N +nyct_subway_14th_st_8_av,nyct_subway_A31S +nyct_subway_unsq,nyct_subway_635N +nyct_subway_unsq,nyct_subway_635S +nyct_subway_unsq,nyct_subway_R20N +nyct_subway_unsq,nyct_subway_R20S +nyct_subway_unsq,nyct_subway_L03N +nyct_subway_unsq,nyct_subway_L03S +nyct_subway_145_st_ind,nyct_subway_A12N +nyct_subway_145_st_ind,nyct_subway_A12S +nyct_subway_145_st_ind,nyct_subway_D13N +nyct_subway_145_st_ind,nyct_subway_D13S +nyct_subway_149_st_grand_concourse,nyct_subway_222N +nyct_subway_149_st_grand_concourse,nyct_subway_222S 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+nyct_subway_grand_central,nyct_subway_901N +nyct_subway_grand_central,nyct_subway_901S +nyct_subway_grand_st,nyct_subway_D22N +nyct_subway_grand_st,nyct_subway_D22S +nyct_subway_gun_hill_rd_irt_white_plains,nyct_subway_208N +nyct_subway_gun_hill_rd_irt_white_plains,nyct_subway_208S +nyct_subway_gun_hill_rd_irt_dyre_av,nyct_subway_503N +nyct_subway_gun_hill_rd_irt_dyre_av,nyct_subway_503S +nyct_subway_hewes_st,nyct_subway_M14N +nyct_subway_hewes_st,nyct_subway_M14S +nyct_subway_high_st,nyct_subway_A40N +nyct_subway_high_st,nyct_subway_A40S +nyct_subway_hoyt_schermerhorn_sts,nyct_subway_A42N +nyct_subway_hoyt_schermerhorn_sts,nyct_subway_A42S +nyct_subway_hunters_point_av,nyct_subway_720N +nyct_subway_hunters_point_av,nyct_subway_720S +nyct_subway_hunts_point_av,nyct_subway_613N +nyct_subway_hunts_point_av,nyct_subway_613S +nyct_subway_intervale_av,nyct_subway_218N +nyct_subway_intervale_av,nyct_subway_218S +nyct_subway_jackson_hts_roosevelt_av_74_st,nyct_subway_G14N +nyct_subway_jackson_hts_roosevelt_av_74_st,nyct_subway_G14S +nyct_subway_jackson_hts_roosevelt_av_74_st,nyct_subway_710N +nyct_subway_jackson_hts_roosevelt_av_74_st,nyct_subway_710S +nyct_subway_jamaica_179_st,nyct_subway_F01N +nyct_subway_jamaica_179_st,nyct_subway_F01S +nyct_subway_jamaica_center,nyct_subway_G05N +nyct_subway_jamaica_center,nyct_subway_G05S +nyct_subway_jay_st_metrotech,nyct_subway_A41N +nyct_subway_jay_st_metrotech,nyct_subway_A41S +nyct_subway_jay_st_metrotech,nyct_subway_R29N +nyct_subway_jay_st_metrotech,nyct_subway_R29S +nyct_subway_junction_blvd,nyct_subway_707N +nyct_subway_junction_blvd,nyct_subway_707S +nyct_subway_junius_st_livonia,nyct_subway_254N +nyct_subway_junius_st_livonia,nyct_subway_254S, +nyct_subway_junius_st_livonia,nyct_subway_L26N, +nyct_subway_junius_st_livonia,nyct_subway_L26S, +nyct_subway_kew_gardens_union_tpke,nyct_subway_F06N +nyct_subway_kew_gardens_union_tpke,nyct_subway_F06S +nyct_subway_kings_hwy_bmt_brighton,nyct_subway_D35N +nyct_subway_kings_hwy_bmt_brighton,nyct_subway_D35S +nyct_subway_kings_hwy_ind_culver,nyct_subway_F35N +nyct_subway_kings_hwy_ind_culver,nyct_subway_F35S +nyct_subway_kings_hwy_bmt_sea,nyct_subway_N08N +nyct_subway_kings_hwy_bmt_sea,nyct_subway_N08S +nyct_subway_kingsbridge_rd_ind_concourse,nyct_subway_D04N +nyct_subway_kingsbridge_rd_ind_concourse,nyct_subway_D04S +nyct_subway_kingston_av_irt_eastern,nyct_subway_249N +nyct_subway_kingston_av_irt_eastern,nyct_subway_249S +nyct_subway_liberty_av,nyct_subway_A52N +nyct_subway_liberty_av,nyct_subway_A52S +nyct_subway_lorimer_st_metropolitan_av,nyct_subway_L10N +nyct_subway_lorimer_st_metropolitan_av,nyct_subway_L10S +nyct_subway_lorimer_st_metropolitan_av,nyct_subway_G29N +nyct_subway_lorimer_st_metropolitan_av,nyct_subway_G29S +nyct_subway_lorimer_st_bmt_jamaica,nyct_subway_M13N +nyct_subway_lorimer_st_bmt_jamaica,nyct_subway_M13S +nyct_subway_mets_willets_point,nyct_subway_702N +nyct_subway_mets_willets_point,nyct_subway_702S +nyct_subway_middletown_rd,nyct_subway_603N +nyct_subway_middletown_rd,nyct_subway_603S +nyct_subway_morris_park,nyct_subway_505N +nyct_subway_morris_park,nyct_subway_505S +nyct_subway_myrtle_wyckoff_avs,nyct_subway_L17N +nyct_subway_myrtle_wyckoff_avs,nyct_subway_L17S +nyct_subway_myrtle_wyckoff_avs,nyct_subway_M08N +nyct_subway_myrtle_wyckoff_avs,nyct_subway_M08S +nyct_subway_myrtle_av,nyct_subway_M11N +nyct_subway_myrtle_av,nyct_subway_M11S +nyct_subway_neptune_av,nyct_subway_F39N +nyct_subway_neptune_av,nyct_subway_F39S +nyct_subway_nereid_av,nyct_subway_204N +nyct_subway_nereid_av,nyct_subway_204S +nyct_subway_nevins_st,nyct_subway_234N +nyct_subway_nevins_st,nyct_subway_234S +nyct_subway_new_lots_av,nyct_subway_257N +nyct_subway_new_lots_av,nyct_subway_257S +nyct_subway_62_st_new_utrecht,nyct_subway_N04N +nyct_subway_62_st_new_utrecht,nyct_subway_N04S +nyct_subway_62_st_new_utrecht,nyct_subway_B16N +nyct_subway_62_st_new_utrecht,nyct_subway_B16S +nyct_subway_newkirk_plaza,nyct_subway_D31N +nyct_subway_newkirk_plaza,nyct_subway_D31S +nyct_subway_nostrand_av_irt_eastern,nyct_subway_A46N +nyct_subway_nostrand_av_irt_eastern,nyct_subway_A46S +nyct_subway_parkchester,nyct_subway_608N +nyct_subway_parkchester,nyct_subway_608S +nyct_subway_parsons_blvd,nyct_subway_F03N +nyct_subway_parsons_blvd,nyct_subway_F03S +nyct_subway_pelham_bay_park,nyct_subway_601N +nyct_subway_pelham_bay_park,nyct_subway_601S +nyct_subway_pelham_pkwy_irt_white_plains,nyct_subway_211N +nyct_subway_pelham_pkwy_irt_white_plains,nyct_subway_211S +nyct_subway_pelham_pkwy_irt_dyre,nyct_subway_504N +nyct_subway_pelham_pkwy_irt_dyre,nyct_subway_504S +nyct_subway_pennsylvania_av,nyct_subway_255N +nyct_subway_pennsylvania_av,nyct_subway_255S +nyct_subway_president_st,nyct_subway_241N +nyct_subway_president_st,nyct_subway_241S +nyct_subway_prospect_park,nyct_subway_D26N +nyct_subway_prospect_park,nyct_subway_D26S +nyct_subway_queens_plaza,nyct_subway_G21N +nyct_subway_queens_plaza,nyct_subway_G21S +nyct_subway_queensboro_plaza,nyct_subway_718N +nyct_subway_queensboro_plaza,nyct_subway_718S +nyct_subway_queensboro_plaza,nyct_subway_R09N +nyct_subway_queensboro_plaza,nyct_subway_R09S +nyct_subway_rockaway_av_irt_new_lots,nyct_subway_253N +nyct_subway_rockaway_av_irt_new_lots,nyct_subway_253S +nyct_subway_rockaway_av_ind_fulton,nyct_subway_A50N +nyct_subway_rockaway_av_ind_fulton,nyct_subway_A50S +nyct_subway_roosevelt_island,nyct_subway_B06N +nyct_subway_roosevelt_island,nyct_subway_B06S +nyct_subway_saratoga_av,nyct_subway_252N +nyct_subway_saratoga_av,nyct_subway_252S +nyct_subway_sheepshead_bay,nyct_subway_D39N +nyct_subway_sheepshead_bay,nyct_subway_D39S +nyct_subway_smith_9_sts,nyct_subway_F22N +nyct_subway_smith_9_sts,nyct_subway_F22S +nyct_subway_spring_st_ind_8_av,nyct_subway_A33N +nyct_subway_spring_st_ind_8_av,nyct_subway_A33S +nyct_subway_steinway_st,nyct_subway_G19N +nyct_subway_steinway_st,nyct_subway_G19S +nyct_subway_sterling_st,nyct_subway_242N +nyct_subway_sterling_st,nyct_subway_242S +nyct_subway_sutphin_blvd_ind_queens,nyct_subway_F04N +nyct_subway_sutphin_blvd_ind_queens,nyct_subway_F04S +nyct_subway_sutphin_blvd_archer_av,nyct_subway_G06N +nyct_subway_sutphin_blvd_archer_av,nyct_subway_G06S +nyct_subway_sutter_av,nyct_subway_251N +nyct_subway_sutter_av,nyct_subway_251S +nyct_subway_tremont_av,nyct_subway_D07N +nyct_subway_tremont_av,nyct_subway_D07S +nyct_subway_utica_av,nyct_subway_A48N +nyct_subway_utica_av,nyct_subway_A48S +nyct_subway_van_siclen_av_bmt_jamaica,nyct_subway_J23N +nyct_subway_van_siclen_av_bmt_jamaica,nyct_subway_J23S +nyct_subway_van_siclen_av_ind_fulton,nyct_subway_A53N +nyct_subway_van_siclen_av_ind_fulton,nyct_subway_A53S +nyct_subway_van_siclen_av_irt_eastern,nyct_subway_256N +nyct_subway_van_siclen_av_irt_eastern,nyct_subway_256S +nyct_subway_w_4_st,nyct_subway_A32N +nyct_subway_w_4_st,nyct_subway_A32S +nyct_subway_w_4_st,nyct_subway_D20N +nyct_subway_w_4_st,nyct_subway_D20S +nyct_subway_w_8_st,nyct_subway_D42N +nyct_subway_w_8_st,nyct_subway_D42S +nyct_subway_wall_st_irt_lexington_av,nyct_subway_419N +nyct_subway_wall_st_irt_lexington_av,nyct_subway_419S +nyct_subway_wall_st_irt_broadway,nyct_subway_230N +nyct_subway_wall_st_irt_broadway,nyct_subway_230S +nyct_subway_west_farms_sq,nyct_subway_214N +nyct_subway_west_farms_sq,nyct_subway_214S +nyct_subway_westchester_sq,nyct_subway_604N +nyct_subway_westchester_sq,nyct_subway_604S +nyct_subway_whitehall_st_south_ferry,nyct_subway_R27N +nyct_subway_whitehall_st_south_ferry,nyct_subway_R27S +nyct_subway_whitehall_st_south_ferry,nyct_subway_142N +nyct_subway_whitehall_st_south_ferry,nyct_subway_142S +nyct_subway_woodhaven_blvd_bmt_jamaica,nyct_subway_J15N +nyct_subway_woodhaven_blvd_bmt_jamaica,nyct_subway_J15S +nyct_subway_woodhaven_blvd_ind_queens,nyct_subway_G11N +nyct_subway_woodhaven_blvd_ind_queens,nyct_subway_G11S +nyct_subway_woodside,nyct_subway_712N +nyct_subway_woodside,nyct_subway_712S +nyct_subway_york_st,nyct_subway_F18N +nyct_subway_york_st,nyct_subway_F18S +nyct_subway_zerega_av,nyct_subway_606N +nyct_subway_zerega_av,nyct_subway_606S diff --git a/src/test/java/com/conveyal/r5/analyst/decay/TestDecayFunctions.java b/src/test/java/com/conveyal/r5/analyst/decay/TestDecayFunctions.java new file mode 100644 index 00000000..4e13b045 --- /dev/null +++ b/src/test/java/com/conveyal/r5/analyst/decay/TestDecayFunctions.java @@ -0,0 +1,112 @@ +package com.conveyal.r5.analyst.decay; + +import com.google.common.primitives.Doubles; +import gnu.trove.list.TDoubleList; +import gnu.trove.list.array.TDoubleArrayList; +import junit.framework.TestCase; +import org.apache.commons.math3.util.FastMath; +import org.junit.Test; + +import static com.conveyal.r5.analyst.decay.DecayFunction.FOUR_HOURS_IN_SECONDS; +import static com.conveyal.r5.analyst.decay.DecayFunction.TWO_HOURS_IN_SECONDS; +import static com.conveyal.r5.analyst.decay.DecayFunction.ZERO_EPSILON; +import static com.google.common.base.Preconditions.checkState; + +public class TestDecayFunctions extends TestCase { + + private static final int TEN_MINUTES_IN_SECONDS = 10 * 60; + + @Test + public void testStepFunction () { + DecayFunction stepFunction = new StepDecayFunction(); + testFunctionCharacteristics(stepFunction); + } + + @Test + public void testLogisticDecay () { + for (int standardDeviationMinutes = 1; standardDeviationMinutes < 20; standardDeviationMinutes++) { + LogisticDecayFunction function = new LogisticDecayFunction(); + function.standardDeviationMinutes = standardDeviationMinutes; + testFunctionCharacteristics(function); + } + } + + @Test + public void testLinearDecay () { + for (int widthMinutes = 0; widthMinutes <= 20; widthMinutes++) { + LinearDecayFunction function = new LinearDecayFunction(); + function.widthMinutes = widthMinutes; + testFunctionCharacteristics(function); + } + } + + @Test + public void testExponentialDecay () { + ExponentialDecayFunction movableFunction = new ExponentialDecayFunction(); + testFunctionCharacteristics(movableFunction); + // printFunctionValues(movableFunction); + FixedExponentialDecayFunction fixedFunction = new FixedExponentialDecayFunction(); + // Set constant for a half life of 10 minutes (in seconds) + fixedFunction.decayConstant = FastMath.log(0.5) / TEN_MINUTES_IN_SECONDS; + testFunctionCharacteristics(fixedFunction); + for (int t = 0; t < 120; t++) { + int travelTimeSeconds = t * 60; + assertEquals( + "Fixed function should produce values identical to those for a half-life of 10 minutes.", + movableFunction.computeWeight(TEN_MINUTES_IN_SECONDS, travelTimeSeconds), + fixedFunction.computeWeight(0, travelTimeSeconds), + 0.0001 + ); + } + } + + /** + * This method can be called from within a test to print out a table of function values, which can be plotted + * as a visual sanity check. + */ + public void printFunctionValues(DecayFunction function) { + for (int cutoffMinutes = 5; cutoffMinutes <= 25; cutoffMinutes += 5) { + TDoubleList row = new TDoubleArrayList(); + row.add(cutoffMinutes); + int cutoffSeconds = cutoffMinutes * 60; + for (int travelTimeMinutes = 0; travelTimeMinutes <= 120; travelTimeMinutes += 1) { + int travelTimeSeconds = travelTimeMinutes * 60; + row.add(function.computeWeight(cutoffSeconds, travelTimeSeconds)); + } + System.out.println(Doubles.join(",", row.toArray())); + } + } + + /** + * Check that: + * For every cutoff, as travel times increase, weights decrease. + * All weights returned are in the range [0...1]. + * The function properly identifies its zero point. + */ + private static void testFunctionCharacteristics (DecayFunction function) { + function.prepare(); + for (int cutoffMinutes = 0; cutoffMinutes < 120; cutoffMinutes++) { + int cutoffSeconds = cutoffMinutes * 60; + // First, check that the function is monotonically decreasing and all outputs are in range. + double prevWeight = Double.POSITIVE_INFINITY; + for (int s = 0; s <= TWO_HOURS_IN_SECONDS; s += 1) { + double weight = function.computeWeight(cutoffSeconds, s); + checkState(weight >= 0, "Weight output must be non-negative."); + checkState(weight <= 1, "Weight output must not exceed one."); + checkState(weight <= prevWeight, "Weight function must be monotonically decreasing."); + prevWeight = weight; + } + // Next, check that the function correctly identifies the point where it approaches zero. + int zero = function.reachesZeroAt(cutoffSeconds); + checkState(zero >= 0, "Decay function zero point must be zero or positive, but was {}.", zero); + checkState(zero < FOUR_HOURS_IN_SECONDS, "Decay function zero point must be less than four hours."); + checkState(zero >= cutoffSeconds, "Zero point should be at or above cutoff."); + double zeroValue = Math.abs(function.computeWeight(cutoffSeconds, zero)); + checkState(zeroValue < ZERO_EPSILON, "Decay function output for zero point must be close to zero."); + double almostZeroValue = Math.abs(function.computeWeight(cutoffSeconds, zero - 1)); + // If we check that they exceed epsilon, then functions that return a precise zero point can fail the test. + checkState(almostZeroValue > 0, "Values left of zero point must be above zero."); + } + } + +}