Study of crowd evacuation in multiple environments based on a meta-cellular automata model

Abstract

To address the effect of anxiety level on evacuation situations, related papers point out that the level of anxiety in an accident is related to the individual's situation and the surrounding environment. For this reason, we used a computer to randomly simulate the individual situation as well as the evacuation environment, to develop a quantitative model of anxiety levels. To explore the change in anxiety levels over time, we build the SIS model to simulate the propagation of emotions. And the difference in anxiety level will determine whether the pedestrian decision is rational or not. Finally, based on the simulation results, the correlation between anxiety level and evacuation rate is analyzed to be negative, and the approximate correlation between several personal situations and evacuation environment with evacuation rate is derived, among which, the correlation between the type of accident occurrence and evacuation rate is the largest.