The Research Of Pedestrian Microscopic Simulation In Station Hall Of Urban Rail Transit Station

Urban rail transit is an important part of urban public transport,which plays an important role in alleviating traffic congestion in large cities.It is of great significance to the organization of pedestrian flow and the optimization of traffic facilities in urban rail transit stations by studying the pedestrian micro-simulation model of urban rail transit station,which could find the existing problems and improve.Based on the social force model of Eiji Harada and the cellular automaton model of Tie-Qiao Tang,this paper takes the pedestrian characteristics in the station hall area as the research object.Improve the models of Eiji Harada and Tie-Qiao Tang by analyzing the traffic characteristics of pedestrians in avoidance and queuing,and used Matlab software to simulate the model improved before and after.Based on the scene of station hall in Xizhimen station,the simulation program of Matlab was used to simulate the advance avoidance behavior and the queuing behavior,which verifies the effectiveness of the improved model.The main contents of this paper are as follows:(1)Analyzed and summarized the research on pedestrian traffic characteristics and micro-pedestrian simulation model,by referring to the relevant literature and data.It provides theoretical support for the improvement of existing models and the selection of model parameters.(2)The station hall in Xizhimen Station of Beijing Subway was selected as the research area and the characteristics of pedestrian movement in the station hall were investigated by counting,observing,photographing and video recording.Analyzed the characteristics of turning avoidance,deceleration avoidance,rectangle shape queuing and the speed change through station hall.(3)Analyzed Eiji Harada's social force model and the deficiencies of the model when describe the pedestrians advance avoidance behavior.And improved the model by expanding the scope of pedestrian self-avoidance perception,increasing the conflict discrimination mechanism between pedestrians,and increasing the deceleration self-avoidance force.(4)Analyzed Tie-Qiao Tang's cellular automaton model and the deficiencies of the model when describe the pedestrians queuing behavior.And improved the model by modifying the judgment mechanism of selection probability of cell in front of the escalator queue,and increasing the behavior of pedestrians' accelerating passing through the station hall when the escalator do not form a queue.(5)Used Matlab software to compile the before and after improvement model program of Eiji Harada and Tie-Qiao Tang,and the simulation comparison and analysis of the model were also carried out.Based on the scene of station hall in Xizhimen station,the simulation program of Matlab was used to simulate the advance avoidance behavior and the queuing behavior,which verified the effectiveness of the improved model in this paper.Simulation results show that the improved model can more effectively reflect the pedestrian walking behavior in the urban rail transit station hall area.