This is a model that simulates choices made by people throughout their day - if and when they go to work, school, out to eat, shopping, etc. This is used to forecast the mobility effects of transportation investments.
This model is built in a mixture of Python 3 (ActivitySim) and Cube Voyager (Auxiliary Models, Skimming and Assignment).
Currently in Development
Anaconda 3 64 bit is required to create the environment and run Activitysim. This model also requires a licensed copy of Cube Voyager 6.4, which must be purchased separately.
-
Create a folder for all of this to keep organized
-
Navigate to that folder and clone this repository in it
-
Checkout the develop branch
-
Navigate to the metc-asim-model folder, download the inputs from the project Sharepoint site, they should be placed in Input_2022 in the metc-asim-model folder. Inside the Input_2022 folder, there should be nine subfolders.
-
Copy contributed executables to source\Visualizer\Contrib
-
Create the Anaconda environment:
conda env create --name asim131 --file https://raw.githubusercontent.com/Metropolitan-Council/metc-asim-model/refs/heads/main/source/environment.yml -
Copy the set_parameters_template.bat file to set_parameters.bat. Edit the paths in the file as appropriate (R, python, model paths)
-
Switch to the Anaconda environment:
conda activate asim131 -
Run the model with the batch file
met_council_model.bat
Contact Dennis Farmer at the Metropolitan Council for questions regarding the overall model.
Cube Voyager can be purchased from Bentley
More information about ActivitySim can be found at the ActivitySim Website.