Scholay

学术搜索 · AI 审稿 · LaTeX 协作

How Crowd Anxiety Affects Emergency Evacuations Based on cellular automata

作者:Kunqi Han, Wei Zhang, Yuzi Zhang · 发表于:2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) · 年份:2022 · DOI:10.1109/aemcse55572.2022.00089 · 研究领域:Evacuation and Crowd Dynamics、Human Mobility and Location-Based Analysis、Crime Patterns and Interventions

With population growth and increased gatherings, emergency evacuation is an unavoidable problem, and crowd anxiety often affects the effectiveness of emergency evacuation. In order to explore the influence of the anxiety level of the crowd on the evacuation effect, in this paper, we conduct research on different situations and parameters, simulate its influence through the cellular automata model machine learning method, and use computer software to simulate. We assume that the evacuees have the same characteristics, evacuate in an orderly manner at the beginning of the simulation, use the cell center coordinates to calculate the distance from the cell to the center of the exit, and then use Matlab to simulate the effect of anxiety on the evacuation process. The parameters are continuously simulated, and the simulation process is displayed in the form of a graph.