| With the development of metropolitans,urban rail transit has become the first choice for residents to travel in large and medium-sized cities.Increasingly number of passengers will inevitably threaten the safety of metro stations.In recent years,passenger injury incidents at stations emerge in endlessly.How to ensure the safety of passengers is an urgent problem to be solved in the field of urban rail transit.Current measures are more to judge the bottleneck point of passenger evacuation in the station according to the situation on the spot,and to formulate measures according to the experience of station managers.The rationality of this method needs to be discussed.In this paper,evacuation measures are formulated through scientific methods of passenger flow prediction and simulation system of passenger flow distribution in stations,which is more intelligent and scientific.The characteristics of large passenger flow in urban rail transit can be divided into two categories,one is sudden large passenger flow,the other is daily large passenger flow.This paper studies these two situations from two aspects: passenger flow prediction and passenger flow evacuation.Firstly,through collecting historical data and using BP neural network forecasting method to forecast sudden and daily large passenger flow,and determine the number of invisible nodes of BP neural network.Then,by using the passenger flow distribution simulation system of urban rail transit station,the passenger flow distribution of sudden and daily large passenger flow are simulated,the bottleneck points of station evacuation are determined when the large passenger flow occurs,the time model of facilities and equipment at the bottleneck points is established,and the actual situation of the station is formulated.A set of feasible evacuation measures which accord with the characteristics of passenger flow in the station are put forward to alleviate the situation of large passenger flow and reduce the potential safety hazards in the station.Finally,the simulation system of passenger flow distribution in urban rail transit station is used to verify the validity. |