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| <title> Sietse Soethout Successfully Defends His MSc Thesis | Bicycle Laboratorium | ||
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| <meta name="description" content="Sietse Soethout successfully defended "A dynamic utility cycling model for energy and time expenditure calculation of a population of cyclists" on September 23, 2024. Sietse developed a physics-based energetic simulation model of a bicyclist that is capable of traversing urban terrain. The model considers the longitudinal vehicle dynamics, cyclist physiology …"> | ||
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| <h1> Sietse Soethout Successfully Defends His MSc Thesis | ||
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| <li class="list-inline-item text-muted" title="2024-10-15T07:25:00-07:00"> | ||
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| Tue 15 October 2024 | ||
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| <tr><td><a class="reference external image-reference" href="https://resolver.tudelft.nl/uuid:ae45c43e-8eb1-4256-b7c2-e290f1260def"><img alt="cover" src="https://objects-us-east-1.dream.io/mechmotum/thesis-cover-soethout.png" style="height: 400px;" /></a></td> | ||
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| <p>Sietse Soethout successfully defended "<a class="reference external" href="https://resolver.tudelft.nl/uuid:ae45c43e-8eb1-4256-b7c2-e290f1260def">A dynamic utility cycling model for | ||
| energy and time expenditure calculation of a population of cyclists</a>" on | ||
| September 23, 2024. Sietse developed a physics-based energetic simulation model | ||
| of a bicyclist that is capable of traversing urban terrain. The model considers | ||
| the longitudinal vehicle dynamics, cyclist physiology used in propulsion, | ||
| braking and accelerating behavior, elevation, traffic signals, cornering, | ||
| merging, ebike assistance, and even walking the bike. The model outputs | ||
| accurate speed behavior over a specified route and gives the time and energy | ||
| costs for the route. Sietse developed techniques for extracting all necessary | ||
| route information from traffic signal timings and LIDAR coverage of the area of | ||
| interest. He selected a case study of a planned bicycle highway in The Hague, | ||
| The Netherlands and compared it to to existing routes. The following video | ||
| shows a simulation along one of the routes:</p> | ||
| <center> | ||
| <video width="800px" controls> | ||
| <source src="https://objects-us-east-1.dream.io/mechmotum/hs_noi_tunnel_single.mp4" type="video/mp4"> | ||
| Your browser does not support the video tag. | ||
| </video> | ||
| </center><p>He then stochastically parameterized the model and simulated hundreds of | ||
| different cyclists traversing the three routes and compared time and energy | ||
| costs for the population of cyclists. The next video shows a population of | ||
| cyclists riding the route:</p> | ||
| <center> | ||
| <video width="800px" controls> | ||
| <source src="https://objects-us-east-1.dream.io/mechmotum/all_animation_hs_noi_normal_all_fast.mp4" type="video/mp4"> | ||
| Your browser does not support the video tag. | ||
| </video> | ||
| </center><p>The resulting distributions of route travel time and energy costs can be | ||
| compared among the routes and used for design decisions for the new route. | ||
| Sietse showed how you can compare behavior based on gender, age, ebike and | ||
| normal bike riders, and even the type of ebike assistance. For this case study, | ||
| the planned bicycle highway will reduce time and energy costs for the cyclists. | ||
| It also revealed that standard ebikes have little time reduction but energy | ||
| costs are significantly lower, which is good for reducing sweat but maybe not | ||
| so much for maintaining exercise levels. The model can be used to objectively | ||
| evaluate bicycle route choices or new designs, providing metrics to time, | ||
| speed, power, and energy for comparisons. It can be used to design green waves | ||
| or minimize peak energy costs by showing optimal locations for traffic signals | ||
| or stops and many other things.</p> | ||
| <p>Sietse was co-supervised by Christoph Schmidt and Jason K. Moore. Everyone at | ||
| the bicycle lab is very proud of Sietse and wishes him the best in his next | ||
| adventures.</p> | ||
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