Traffic management, urban planning, and emergency management cannot be efficiently done without crowd simulation. This paper proposes a Behavioral Clustering Method
(BCM), which tackles the problem of forming crowds in clusters or subgroups based on fundamental behaviors so that congestion is minimized during effective evacuation
processes. We designed BCM based on synthetic data obtained from the simulation of the evacuation of a crowd in high-risk situations. Our method regards pedestrians as intelligent agents and predicts key behavioral aspects of future crowd evacuations before they occur. We use cluster analysis on those movement and behavioral data for building and evacuation-friendly control strategies by clustering people into subgroups of behavioral similarity. The credibility of the model is validated through Python-based animations to detect and rectify errors. Results from simulation performance evaluations indicate that BCM is successful in modeling the evolution of crowd behavior at the time of evacuation.
Citation
MOHAMED Chatra ,
ghenabzia ahmed ,
Samir Akhrouf ,
ABDOU Mustapha ,
, (2025-02-01), A Simulation-Based Behavioral Clustering Method for Crowd Evacuation Analysis, YMER International Open Access Journanl,
Vol:24, Issue:1, pages:22, Open Access