Abstract
Abstract. Computer-based simulation is a means of exploring complex systems and has become the mainstream method of pedestrian research. In this research, a multi-agent simulation model of pedestrian flow will be established using a multi-agent system (MAS) and Bayesian Nash equilibrium. MAS is used to simulate the crowd movement and the interaction between pedestrians, and Bayesian Nash equilibrium is adopted to analyze the decision-making process of pedestrians. In contrast to previous pedestrian flow simulation modeling methods, this study adopts multi-agent modeling to realize the complete heterogeneity of pedestrians, so as to achieve more accurate simulation and make the research conclusions closer to reality. To be specific, we attempt to determine the cell side length and simulation time step of an initial model parameterized using a dataset of actual pedestrian movements. It allows more than one pedestrian to be in the same cell and stipulates that the utility of pedestrians decreases with the growing number of pedestrians in the cell. The Bayesian Nash equilibrium is applied to analyze the decision-making process of pedestrians and collision avoidance rules and interaction rules of agents are also formulated. A number of areas of further research are discussed.
Highlights
In recent years, how to manage crowded pedestrians scientifically and effectively has attracted extensive attention from emergency management departments and researchers
This research attempts to establish a simulation model of pedestrian flow based on multi-agent system and Bayesian Nash equilibrium
In much previous pedestrian flow models, the pedestrian movement space is divided into a square with a side length of 0.4m according to the pedestrian projection area
Summary
How to manage crowded pedestrians scientifically and effectively has attracted extensive attention from emergency management departments and researchers. The behavior of pedestrians is complex and nonlinear, and the factors affecting pedestrian flow are dynamic and changeable. On this basis, a large number of field observations and theoretical analysis have been carried out in recent years, trying to analyze and determine rules of pedestrian flow states. Establishing an effective simulation model for pedestrian flow can inform large-scale emergency evacuation simulation and planning. Current simulation studies on pedestrian flow mainly concentrate on the optimization of evacuation process after disasters. Owing to environmental differences, the characteristics of pedestrian behavior in different areas are totally different and require separate study This indicates the need to analyze the characteristics of pedestrian movement under different scenes/emergencies. MAS is used to simulate the movements and interactions of pedestrians, and Bayesian Nash equilibrium is used to analyze the decision-making process of pedestrians
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