Cellular Automata - Pedestrian conflicts with vehicles

Introduction

This is a Python implementation of the cellular automata model described in the paper Li, Xiaomeng & li, Xingang & Wang, Jiangfeng. (2012). Using Cellular Automata to Investigate Pedestrian Conflicts with Vehicles in Crosswalk at Signalized Intersection. Discrete Dynamics in Nature and Society. 2012. 10.1155/2012/287502.

Two scenarios have been implemented:

• Scenario 1
  • 50 seconds of pedestrian green light
  • 6 meters of crosswalk width
• Scenario 2
  • 35 seconds of pedestrian green light
  • 5 meters of crosswalk width

More scenarios can be implemented by setting the environment variables used in the config.py and run_scenario.py files.

Aditionally, an animation of one of the scenarios can be run.

Requirements

• Python 3.11 or higher
• Make

Usage

Install dependencies

make install_dependencies

Run scenario 1

make scenario_1

Run scenario 2

make scenario_2

Run animation

make animation

Using the results

The results of the simulation are saved in the results directory. They are saved in a CSV format with the following columns:

• pedestrian_arrival_rate: The pedestrian arrival rate, measured in pedestrians per hour.
• vehicle_arrival_rate: The vehicle arrival rate, measured in vehicles per hour.
• conflicts: The number of conflicts between pedestrians and vehicles during the simulation of the scenario.