BayAreaMetro/tm2py: Travel Model Two - python edition · GitHub

Owner: Metropolitan Transportation Commission (MTC)

Currently a large pile of documentation exists for an earlier incarnation of this project, we need to port that documentation here.

Travel Model Two runs with a CTRAMP household demand model and EMME skimming/assignment procedures.

For current configuration files and model run utilities see [the tm2py-utils repository] (https://github.com/BayAreaMetro/tm2py-utils)

Run the model

Install the model

Setup your server

Important travel behavior enhancements in Travel Model Two include:

• A much more detailed spatial representation of transportation system supply including an accurate all-streets network for entire 9-county Bay Area, pedestrian paths\sidewalks from OpenStreetMap, bicycle facilities from MTC’s BikeMapper, and transit networks from MTC’s RTD network

• Land-use and demographic forecast integration with Bay Area UrbanSim Two represented at a 40,000 micro-analysis zone (MAZ) level

• Detailed transit access/egress based on actual origin/destinations at the MAZ level considering boarding and alighting at specific transit stops allowing for a more accurate representation of walk times

• More detailed temporal resolution using half-hourly time windows compared to hourly time windows in Travel Model One

• The effects of transit capacity and crowding

• More detailed auto assignments, most notably with the loading of short trips to local streets

• The inclusion of Taxis and Transportation Network Companies (TNCs) such as Uber and Lyft as a mode choice option

• Representation of Automated Vehicles

How do you create and update these pages? Instructions for deploying GitHub pages with mkdocs

Details about contributing can be found on our documentation website: https://bayareametro.github.io/tm2py/contributing