BIDIRECTIONAL CROWD FLOWS WITH INTRODUCTION OF OBSTACLES

Code for the project of the course Complex System Simulation, UvA 2021.

The model is based on the Social Force Model for pedestrian dynamics created by Dirk Helbing and Péter Molnár.

The contributors of this project are:

• Caterina Buranelli
• Marija Pujic
• Robbert van Koesveld
• Iris Reitsma

The contributors added to the original code of the model the features listed in the Expansions section; the source of the original code is: https://github.com/svenkreiss/socialforce.

source: Social Force Model

Social force model for pedestrian dynamics
Dirk Helbing and Péter Molnár
Phys. Rev. E 51, 4282 – Published 1 May 1995

Install and Run

# install from PyPI
pip install 'socialforce[test,plot]'

# or install from source
pip install -e '.[test,plot]'

# run linting and tests
pylint socialforce
pytest tests/*.py

EXPANSIONS:

• inclusion of different obstacles

• removal of periodic movement of agents ( an agent passes the coridor, new agent is randomly placed in the opposite edge )

• different tendency of respawning on the agent's right side of the corridor

• higher repulsive force between the agents and the obstacles

  HOW TO IMPLEMENT:

  • socialforce/potentials.py - line 86 - change to : return self.u0 * np.exp(-0.4 * np.linalg.norm(r_aB, axis=-1) / self.r)

SIMULATIONS:

Different setups together with the code for running of the simulations can be found in the 'test' file

• layouts:

  'benchmark'

  

  'horizontal'

  

  'pillars'

  

  'single'

  

  'angled'

  

  • number of people in the system at all times

    • number of simulations conducted for statistical accuracy

RESULTS:

results of the simulations can be plotted by running the read_and_plot.py file

• the file path has to be edited depending on which resutls are being accessed