Open AccessImpact of Confusion Factor on Simulation of An Agent-based Panic Crowd Evacuation Model
Author(s) -
Xiaowei Chen,
Jian Wang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/563/5/052027
Subject(s) - crowds , confusion , computer science , bottleneck , entropy (arrow of time) , pedestrian , panic , boltzmann constant , simulation , computer security , psychology , anxiety , engineering , transport engineering , physics , psychiatry , psychoanalysis , quantum mechanics , thermodynamics , embedded system
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.