In this paper, we have developed a description of an agent-based model for simulating the evacuation of crowds from complex physical spaces to escape dangerous situations. This model describes a physical space that contains a set of differently shaped fences and obstacles, and an exit door. The pedestrians composing the crowd and moving in this space in order to be evacuated are described as intelligent agents with a supervised machine
learning using perception-based data to perceive particular environment differently. The description of this model is developed with the Python language where its execution represents its simulation. Before the simulation, the model can be validated using an animation written with the Python language and this to fix possible problems of model description. A model performance evaluation is presented using an analysis of simulation
results and this evaluation shows that these results are very encouraging.
Citation
MUSTAPHA Bourahla ,
ADMIN Admin ,
Mohamed Chatra ,
, (2024-02-01), Agent-Based Simulation of Crowd Evacuation through Complex Spaces, Ingénierie des Systèmes d’Information,
Vol:29, Issue:1, pages:1-11, International Information and Engineering Technology Association (IIETA)
