Transportation Forecasting

For TRBAM 2019 TRANSFOR19 Forecasting competition

Setup and library installation

Requirements:

• Python >= 3.5 (3.7 recommended)
• BLAS libraries (OpenBLAS, ATLAS, Intel MKL etc.)
• gcc >= 4.9
• Git
• Python pip

example install on Debian Linux:

apt install python3.7 python3.7-dev python3-pip g++ libblas-dev git

to install basic required Python libraries run:

pip3 install --user -r requirements.txt

Notes

• total data size = (17856 rows × 1024 columns)

• available date range = 2016-10-01 to 2016-12-01

• speed forecasting range = 2016-12-01 00:00:00+08:00 to 2016-12-01 23:55:00+08:00 6am - 10:55am, 4pm to 8:55pm

• prediction boundaries:

  • 108.94615156073496 < longitude < 108.94765628015638
  • 34.2324012260476 < Latitude < 34.23940650580562

• Dec 01, 2016 is a Thursday

• Extract datasets from datasets.tar.xz

This is a 3 part series:

Use the following to navigate

• Part 1: data processing
• Part 2: data preparation
• Part 3: model training