| As a new generation of public transportation, subway is more and more get the favour of traveler, because of its fast and convenient, not affected by the weather, on time, etc. But if an emergency occurs in a relatively narrow closed subway station, it will bring a serious effect on the dense crowd inside the station. Therefore, it is very important to study the behavior of evacuation in case of emergency. The main work and results of the study are summarized as follows:(1) The design scheme of crowd evacuation simulation system was studied. Analysed the the demand of crowd evacuation simulation system on the scene modeling, loading the traveler information, the crowd behavior modeling three aspects, and establish the overall framework.(2) Based on the analysis of the relevant key technology in evacuation simulation, this paper focused on the floor field cellular automata model, introduced the principle of static and dynamic floor field, and the calculation method of pedestrian movement probability.(3) This paper incorporated the long-term congestion anticipation and aversion into cellular automaton model, then established subway station crowd evacuation simulation model. According to the environmental characteristics of subway, the crowd evacuation environment model is established and the time-space network diagram. According to establish a network of space and time, with the global path planning to predict the distribution of pedestrian future, and then through the congestion recognition algorithm of congestion location, with potential energy field to realize local collision avoidance, finally to realize simulation of crowd evacuation behavior.(4) This paper set up crowd evacuation simulation system based on the time-dependent floor field cellular automata crowd evacuation model. Subway station evacuation simulation proved that the model has better practicability. Finally, conduct simulations with the model in a simple corridor to analyze experimental results. |
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