Impact of Confusion Factor on Simulation of An Agent-based Panic Crowd Evacuation Model

2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

无线电电子学;计算机科学;材料科学

Chen, Xiaowei^1 ; Wang, Jian^1

School of Electronic and Information Engineering, Tongji University, Shanghai, China^1

关键词: Agent based;    Boltzmann entropy;    Crowd evacuation;    Emergency evacuation;    Escape behavior;    Evacuation time;    Pedestrian behavior;    Shannon entropy;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/563/5/052027/pdf
DOI  :  10.1088/1757-899X/563/5/052027

来源: IOP

【 摘 要 】

Aiming at how panic and chaos affect pedestrian behavior and evacuation efficiency, we propose a panic crowd evacuation model based on entropy. Boltzmann entropy and Shannon entropy are used to simulate people's escape behavior in panic disorder. The simulation results suggest that the proposed model can effectively reflect the negative impact of chaos on evacuation, which leads to longer evacuation time. Compared with Shannon Entropy, Boltzmann Entropy is more sensitive to the number of persons and helpful to identify the evacuation bottleneck area. This work provides a new insight for understanding how crowds behave in an emergency evacuation.