为了研究地铁车站的火灾疏散情况,首先探讨了影响人群疏散的一些因素,包括温度、毒害气体和能见度;并通过安全疏散演练实验,得到了人群在紧急状况下撤离火灾车厢的时间及B型地铁列车的车门通过能力,针对安全疏散时间进行了探讨。接着利用元胞自动机理论创建了地铁车站火灾疏散仿真模型;并分析了疏散人数、出口数量、出口宽度对疏散时间的影响,得出了出口数量的增加与出口宽度的加大有助于缩短疏散时间、在起火列车进站前应先疏散站台乘客等结论。
The fire evacuation of subway station was studied. First,it analyzes some of the factors that affect crowd evacuation. They include temperature,toxic gases and visibility. The method of safety evacuation drill was used. It is concluded that the crowd emergency evacuation of carriage time. It comes to the B-type subway through the ability of a single door. It analyzes the safe evacuation time. The cellular automata theory was used to create a people evacuation model. It analyzes the effects of the number of people,the number of exits and the width of exit on evacuation time. It finds that the increase of the number of exports and the increase of the width of the outlet can help shorten the evacuation time. The article also found in the fire before the train station should be evacuated passengers.