Abstract: In order to reflect the changing pattern of pedestrian evacuation in panic scenarios, simulation analysis was conducted based on the AnyLogic software. By introducing emotional factors and information factors, quantifying panic transmission coefficients and information transmission coefficients, establishing a group panic dynamics model, and using Monte Carlo methods for quantitative analysis of group psychology, the panic level is divided into five levels: Level I, Level II, Level III, Level IV, and Level V. This model is used to analyze the evacuation pattern of panic-stricken people under different densities and panic levels. The results show that panic has a low impact on evacuation efficiency under low-density scenarios, and moderate panic can reduce evacuation time under medium-and high-density scenarios. Exceeding the critical range can lead to a delay in evacuation. The scene simulation shows that under moderate panic, the evacuation of people is rapid and orderly, while under excessive panic, the evacuation of people is slow and chaotic.

Key words: pedestrian evacuation, dynamic models, AnyLogic simulation, panic psychology, evacuation efficiency