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ARC ActivitySim Implementation

Atlanta Regional Commission (ARC) prototype of the ActivitySim Framework

Folder and File Setup

  1. Clone the repository to a directory (e.g., C:\Projects)
  2. Create a folder named 'Data' in the above directory
  3. Download the data (e.g., households.csv, persons.csv and ZoneData.csv) and place those in the 'Data' folder
  4. Create a folder named 'Skims' under 'Data' and place the skim matrix (e.g., skims_complete) in that folder

Installation

  1. Install Anaconda 64bit Python 3
  2. Create an ActivitySim-oriented virtual python environment. Recommend using a virtual env with the environment.yml included in this repository.
conda env create -f environment.yml
  1. Switch the Virtual Env
conda activate arc_activitysim

Data Processing (If necessary)

  1. Update the data path in build_h5.py (e.g., C:\Projects\Data) located here: C:\Projects\client_arc_activitysim\scripts
  2. Navigate into the scripts folder
cd scripts
  1. Run 'build_h5.py' to create the necessary inputs for ARC ActivitySim.
python build_h5.py complete

Available options

  • micro (25 sample zones)
  • small (500 sample zones)
  • complete (all zones)

Simulation

  1. Run the simulation
activitysim run