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Welcome to tm2py

The python package developed to run Travel Model Two

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.

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