Crowd Simulation for Evacuation Behaviors Based on Multi-agent System and Cellular Automaton
Fu Yue-wen, Liang Jia-hong, Quan-Ping Liu, Xiaoqian Hu
Abstract
Fu Yue-wen, Liang Jia-hong, Quan-Ping Liu, Xiaoqian Hu
Abstract
In this paper, a behavior simulation model of crowd evacuation is proposed by integrating the multi-agent technology into cellular automaton. In the model, the cellular in the cellular space are considered as separate agents firstly, and every cellular with its state is encapsulated and extended to an autonomous agent. Then we design the perceptual model and decision model of agents in detail, and the individual differences are introduced in the cellular automata model, which could reflect the impact of individual personality, strength and psychology on evacuation behaviours well. The simulation results show that this model can truly simulate the evacuation behaviours in critical situations.
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In this paper, a behavior simulation model of crowd evacuation is proposed by integrating the multi-agent technology into cellular automaton. In the model, the cellular in the cellular space are considered as separate agents firstly, and every cellular with its state is encapsulated and extended to an autonomous agent. Then we design the perceptual model and decision model of agents in detail, and the individual differences are introduced in the cellular automata model, which could reflect the impact of individual personality, strength and psychology on evacuation behaviours well. The simulation results show that this model can truly simulate the evacuation behaviours in critical situations.
Key concepts: Cellular automaton, Computer science, Crowd simulation, Stochastic cellular automaton, Human–computer interaction, Perception, Automaton, Simulation