Simulation of High Density Crowds Based on Improved Social Force Modeling

Crowd simulation algorithms based on the social force model are widely used to simulate the movement behavior of real crowds due to their realism and flexibility. However, when modeling the behavior of high-density crowds, the interacting forces between individuals become extraordinarily complex, which leads to individual pedestrians being prone to jerks and local abnormal behavior. To address this problem, this paper proposes a crowd simulation algorithm that combines a social force model and a consistency algorithm to constrain the pedestrians as a whole through the consistency algorithm and eliminate possible local abnormal behaviors. Ultimately, the efficacy of our algorithm was corroborated through a series of self-organizing simulation experiments.