Dynamics of Panic Pedestrians in Evacuation
Shi Dongmei, Zhang Wenyao, Wang Binghong

TL;DR
This study models pedestrian evacuation dynamics using a modified lattice gas approach, revealing how panic levels influence phase transitions between cooperative and defective behaviors, with implications for optimizing evacuation strategies.
Contribution
It introduces a novel lattice gas model incorporating payoff-based interactions and demonstrates how panic levels drive phase transitions in pedestrian behavior during evacuation.
Findings
Escape time increases with panic level.
System exhibits three distinct phases at high panic levels.
Cooperation yields the best outcomes for pedestrians.
Abstract
A modified lattice gas model is proposed to study pedestrian evacuation from a single room. The payoff matrix in this model represents the complicated interactions between selfish individuals, and the mean force imposed on an individual is given by considering the impacts of neighborhood payoff, walls, and defector herding. Each passer-by moves to his selected location according to the Fermi function, and the average velocity of pedestrian flow is defined as a function of the motion rule. Two pedestrian types are included: cooperators, who adhere to the evacuation instructions; and defectors, who ignore the rules and act individually. It is observed that the escape time increases with the panic level, and the system remains smooth for a low panic level, but exhibits three stages for a high panic level. We prove that the panic level determines the dynamics of this system, and the initial…
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Taxonomy
TopicsEvacuation and Crowd Dynamics · Traffic and Road Safety · Traffic control and management
