scia-premium/symua

Pedestrian flow simulation represented as a multi-agent system and made with python and the library CrowdDynamics.

SYMUA

AUTHORS

Adrien Houpert <[email protected]>
Alexandre Lemonnier <[email protected]>
Alexandre Rulleau <[email protected]>
Baptiste Bourdet <[email protected]>
Sarah Gutierez <[email protected]>
Victor Simonin <[email protected]>

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The project

For our project, we have chosen to represent a pedestrian flow simulation. We choose this project due to the recent events that happened in Seoul where people have been crushed to death during Halloween at Itaewon. Also, we decided to test our agent model on the heavy pedestrian traffic of Shibuya crossing to analyze at which point this place is too crowded to circulate or even survive.

To ease our task we started from the crowddynamics project which already implements the engine we need. Therefore, we started this project and implemented our idea by adding new agent behaviors and maps, we also fixed pre-existing bugs.

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Usage

The environment installation could be made and run with the following commands :

cd src/qtgui
conda create --name symua python=3.8
conda activate symua
pip install -r require.txt
conda install -c conda-forge scikit-fmm
conda install shapely
python cli.py run

Open test.py file in GUI.