Simulation study on emergency evacuation of subway station considering panic emotions

• Published in: 2022 2nd International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR) pp. 203 - 208
• Main Authors: Wang, Li, Yang, Shuai, Liu, Zhijun, Cao, Jingwen
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2022
• Subjects: Analog simulation; Automata; Behavioral sciences; Data models; Evacuation model; Mathematical models; Panic emotions; Risk management; Software; Software algorithms; Subway station
• DOI: 10.1109/ICBAR58199.2022.00046

In order to analyze the emergency evacuation mechanism of subway station in panic emotions, improvng evacuation efficiency and reducing casualties and property losses. Based on the traditional cellular automata model and the improvement of A * and SIS algorithms, this paper fully considered the influence of the panic emotions of evacuees on evacuation behavior. At the same time, SIS algorithm was used to quantify the degree of individual panic, and A * algorithm was used to consider the optimal obstacle avoidance path selection in the context of obstacles. The combination of the two improved the cellular automata model. By drawing the model structure diagram, based on MATLAB simulation software, the evacuation model was programmed to show the escape behavior of evacuees under emergencies. Based on the questionnaire survey and theoretical analysis, the effects of four indicators, including the presence or absence of panic, panic threshold, emotional decay rate and pedestrian density, on evacuation efficiency were analyzed. The results show that there is a significant difference in the evacuation time between the platform layer and the station hall layer of the subway station with or without panic emotions. The evacuation time of pedestrians with panic is much longer than that without panic. When the emotional threshold increases, the evacuation time will gradually decrease. When it reaches a certain level, the evacuation time is not related to the panic emotional threshold. When the rate of emotional decay is less than 0.06, the panic value will remain at a high level. The greater the rate of emotional decay, the faster the panic value decreases. Pedestrian density is also the key to affecting evacuation. The greater the pedestrian density is, the more panic emotions spread in the room and then continue to strengthen. The increase in panic value leads to longer evacuation time.