2024/03/02 by Matteo Butano, Butano, Matteo, Cécile Appert-Rolland +3
Engineering · #Evacuation and Crowd Dynamics #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Traffic control and management #Urban Design and Spatial Analysis
paper · pdf · doi:10.48550/arxiv.2403.01168
openalex publication_date 2024/03/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Understanding and modeling pedestrian dynamics in dense crowds is a complex yet essential aspect of crowd management and urban planning. In this work, we investigate the dynamics of a dense crowd crossed by a cylindrical intruder using a Mean-Field Game (MFG) model. By incorporating a discount factor to account for pedestrians' limited anticipation and information processing, we examine the model's ability to simulate two distinct experimental configurations: pedestrians facing the obstacle and pedestrians giving their back to the intruder. Through a comprehensive comparison with experimental data, we demonstrate that the MFG model effectively captures essential crowd behaviors, including anticipatory motion and collision avoidance.