The IISc-TIFR City-Scale Agent Based Simulator

The agent based city-scale simulator is a generic multi-agent simulator which is developed by the Indian Institute of Science, Bengaluru and the Tata Institute of Fundamental Research, Mumbai to study the effects of different non-pharmaceutical interventions on spread of the CoVID-19 infection in a city-scale.

Contents:

• Installation
  • Enabling feature to load–store simulator state
• Quick start guide
  • Getting the files
  • Repository structure
  • Building the synthetic city
  • Simulating a test run
• About
  • Design
  • Implementation
• Instantiating a synthetic city
• Setting up the python environment
  • Installing the necessary packages
  • Known issues
• Preparing the data to instantiate
  • Sub-Directory Structure
  • Demographic Data
  • Geographic
  • Mobility Data
  • Disease Progression Data
• Generating synthetic city
• The simulator
  • Running the code
    • Method 1: Running drive_simulator directly
    • Method 1: Using the provided shell scripts
      • Viewing the output
• Simulator parameters
  • Basic Parameters
  • Seeding the initial infection
  • Disease progression parameters
  • City parameters
  • Intervention parameters
  • Containment implementations
    • Community/ward-level containment
    • Neighbourhood-cell-level containment
    • Other options
    • Interventions via json file
    • Attendance profiles
      • Testing protocols
• Interventions
  • Pre-defined interventions
  • User-defined interventions
• Testing
  • Syntax for JSON files for testing protocols
  • Example JSON
• Workplace attendance
  • Some important nuances
• Load – Store feature
• Javascript simulator
• Calibrating the simulator
• Acknowledgement
• Support
• License and Copyrights