This code is intended to simulate the coupled dynamics of pedestrians and Complete Autonomous Vehicles (CAV) in a bespoke free-space environment.

Last modified version 12/10/2015

Microsimulator solving for the free-space dynamics of pedestrians using a so-called "Social Force Model" based on the article [Helbing & Molnar Phys. Rev. E 51, 4282 (1995)]. It includes the possibility to set a crude model of environment using defined walls and buildings.

• Includes JSON user interface for time-propagation and environmental settings.
• Includes pedestrian dynamics by solving time-dependent "Social Force Model" equations.

Requirements:

• Git
• Python and Numpy, Scipy dependencies
• JSON

The following instructions are for a Unix-like environment without root privileges.

In a terminal,

mkdir SocialForceModel
cd SocialForceModel
git clone https://github.com/UCLGuichard/SocialForceModel

This gets the code. Now let's run it.

cd SocialForceModel/src
python SocialForceModel.py

If all went well, you should now have a test case running.

SocialForceModel has been developed and tested under Windows and Eclipse IDE with Python 2.7 and Anaconda interpreters.

See LICENSE file for more details.

See CITATION file for more details.

1.0 (in progress)

SocialForceModel is based on the work by Helbing and coworkers cited above.

• Whoever involved in this project.

[Roland Guichard] - roland.guichard@ts.catapult.org.uk