Quick Start Guide

Requires Anaconda, git, and R (with all necessary R packages) to be installed on the machine.

1. With Anaconda Prompt in the target directory on a modeling server's local drive:
   a) clone this repo and move to the development branch.

   git clone https://github.com/CMAP-REPOS/cmap_trip-based_model.git
   cd cmap_trip-based_model
   git checkout develop

   b) if a TBM conda environment already exists, reinstall local packages to use the latest source code.

   conda activate CMAP-TRIP2
   pip install -e src\Mode-Dest-TOD
   pip install -e src\Mode-Dest-TOD\sharrow

   c) copy data from a previous model run. (arguments for recent_conformity and scenario should match the previous model run)

   powershell -file copy_scenario_data.ps1 -recent_conformity c23q4 -scenario 100

2. Update the project name in Emme > File > Project Settings and rename the .emp and .emp.prj files to match.
3. Update "Database\batch_file.yaml"
4. Update growth rate in "prep_macros\distribute.trucks" and "prep_macros\distribute.poes"
5. Update file location in "prep_macros\build_tod_transit" and "prep_macros\initialize.scenarios"
6. Update visitor_trips_growth_factor and downtown_surcharge_rates for TNC and TNC_pooled in "Database\cmap_trip_config.yaml"
7. Make a copy of the previous model run. Copy "useful_macros\input_data_mac.py" from the model run being set up to "useful_macros\" in the copy. Run the script in the previous scenario using Emme Python. Copy the resulting preload congested travel time files (those with preload or timau in the name) from "Database\default_base_year" in the copy to the same location in the model run being set up.
8. Run "trip_gen.bat" module 3
9. Run "run_cleanup_script.bat"
10. Run the following macros, in order, using Emme Prompt:
    "prep_macros\build_tod_transit"
    "useful_macros\delete.initial.batchin.scenarios"
    "prep_macros\initialize.scenarios"
11. Run "Submit_Full_Regional_Model_SOLA.bat mode 2