Influence Of Passenger Route Choice On Passenger Flow Distribution In Urban Rail Transit Station

The rapid development and popularization of urban rail transit has brought about problems such as increased passenger flow at the station and intensive passenger flow.With the impact of mass passenger flow in the morning and evening peak periods,it is more likely to cause congestion in the station,which could cause potential safety hazards to passengers.In the process of management for subway passenger flow,in order to respond to the impact of large passenger flow,it is necessary to study the real-time distribution of passenger flow in subway stations.Therefore,it is of great significance to do research on the behavior of passengers,especially the impact of the dynamic route selection behavior of passengers to the distribution of passenger flow within the station and dispersion of passenger traffic.In this paper,the route selection behavior of passenger is studied.The environment factors of affecting dynamic route selection,the density of passenger flow and orientation identification factors are acquired.The method of SP experiment based on VR is improved.According to the above factors,the experiment of path selection behavior for passenger is executed,and the passengers' dynamic path selection behavior model in rail transit stations is obtained.Based on this model,a passenger flow simulation experiment was conducted to analyze the influence of passengers' dynamic route selection behavior on the passenger flow distribution in the station.The work of the thesis is as follows:(1)The passengers' route selection behavior of rail transit is analyzed,from the internal factors that reflect individual characteristics and the external factors that reflect the station environment.Through screening,three factors affecting passengers' dynamic path selection,such as space environment,passenger flow density,and orientation identification,are obtained.(2)The SP survey method is improved by introduction of VR technology,and the passenger route selection behavior experiment was conducted.Combining the above three factors that affect passengers' dynamic route selection behavior with the characteristics of subway station space layout,identification standards,and dynamic passenger flow,38 experimental selection scenarios were designed and constructed using VR technology.Moreover,the virtual helmet is used to perform experimental selection of scenes.(3)Simulation experiment of passenger flow is carried out using the Legion software.The simulation model of passenger flow during the late peak period is built according to the Beijing Subway Military Museum Station.The fixed static route selection model and the model of passengers' dynamic route selection behavior are compared and analyzed.The experimental results show that using the dynamic route selection behavior has a significant influence on the passenger flow distribution in the station.Compared with using the fixed ratio static route selection model for existing passenger flow analysis,using the passenger dynamic path selection behavior model can dynamically select different moving paths according to the different surrounding passenger flow environment,and it is more closely to the behavior pattern of passengers riding on the subway in the real scene.