Simulation of Passenger Behavior in Virtual Subway Station Based on Multi-Agent

According to architectural structure of underground station and condition of passengers, the emergency evacuations are extremely important during emergency accidents caused in the stations. Based on the architectural features and situation of passengers in the station, Multi-Agent system is proposed to analyze passengers’ behavior and elements which affect passengers’ behavior. Base on the crowd mentality, the model of selective behavior of passengers’ route was established to simulate passengers’ actions during emergency accidents. It is feasible to find out the influence brought by crowd mentality affect the emergency evacuations, and the influence of remitting the situation from external factor through WebVR. At last, it provides references for emergency evacuation strategy.