Identification And Simulation Optimization Of Passenger Flow Congestion In Urban Rail Transit Stations

As China has built a well-off society in an all-round way,China’s social and economic level has developed unprecedentedly,and people’s demand for travel quality and travel safety is increasing day by day.However,at the same time,the increasing demand for urban rail transit,especially in modern cities,the passenger flow and flow direction are relatively concentrated during the rush hour,and the short-term outbreak of passenger flow on holidays will have a serious impact on the operation efficiency and safety of urban rail transit.Scientifically and reasonably identifying the degree of congestion in the station is of great significance in the safe operation management of the station and the comfortable travel of passengers.Taking this as the starting point,this paper establishes the station passenger flow simulation model to simulate the passenger flow of subway station.The optimization scheme is put forward according to the passenger flow,and the feasibility of the scheme is verified by simulation model.The main research contents are as follows:Firstly,according to the research literature,this paper gives the definition of congested passenger flow,so as to define the distinction of congested passenger flow.And analyze the causes of crowded passenger flow and the characteristics of crowded passenger flow;By analyzing the passenger flow characteristics of each service facility,the congested areas of urban rail transit stations are divided,and then different models are introduced into different congested areas to identify the congestion.At the same time,the social force model is selected as the method to study the passenger flow movement law of urban rail transit stations.Secondly,the congestion identification model of pedestrian facilities and station units in the station is proposed.The queue length and passenger flow density are selected as the congestion evaluation indexes of main pedestrian facilities.Referring to the service level classification standard of pedestrian facilities in the station by TCQSM and other scholars,the congestion identification classification is divided into four levels: unobstructed state,level I congestion,level II congestion and level III congestion.The threshold corresponding to the passenger flow congestion level is obtained through cluster analysis of passenger flow data,and the station passenger flow congestion identification model is established.Finally,the subway transfer station of Qingnian Street is selected as the research object.The data required for passenger flow simulation are obtained through field investigation and observation,and the passenger flow streamline in the station is studied to provide data support for the simulation;Put forward improvement measures for the congestion problem found in the simulation process,and simulate again.Through the optimization simulation of Qingnian Street station,it is found that the total transfer time of passenger flow is reduced from 200 s to187s,the total inbound time is reduced from 317 s to 286 s,and the total outbound time is reduced from 191 s to 167 s.After optimization,the passenger flow capacity of the subway station is significantly improved.Thus,it is proved that the optimization scheme proposed in this paper is feasible.