Research On Route Choice Modelling For Rail Transit Passenger

Under the background of networked operation of urban rail transit,the flat fare strategy and the seamless transfer mode bring greater challenges to operational management while bringing convenience to rail transit passengers.Only analyzing OD data can no longer obtain the specific travel routes and passenger flow distribution of passengers in the rail transit network.However,the passenger route choice behavior in the rail transit network is the basis for rail transit operation management and ticket clearance.Therefore,the paper theoretically studies the topological modeling of rail transit network,improves the effective path search algorithm for rail transit network,explores the influencing factors which affect passenger route choice in rail transit,and establishes the passenger flow distribution model for rail transit network.At the same time,a case application was made based on Suzhou Rail Transit Network.Specifically,the paper mainly conducted the following research work:(1)Summarize three main processing methods for rail transit station nodes,and analyze their respective advantages and disadvantages.The paper finally chooses to split the rail transit station node into multiple nodes,and add parking arc and transfer arc.Based on this,the paper establishes a rail traffic network topology model.(2)The paper analyzes the reason why the redundant section is contained in the effective path searched by the depth-first search algorithm,and the definition of the redundant section is given.The method of determining the redundant section based on the transfer node sequence is proposed.The existing algorithm is improved by adding a judging process of redundant sections to the algorityhm.(3)Based on the survey of passenger route choice,the factors which affect passenger route choice are analyzed.Influence of familiarity of the rail transit network,total travel time,number of transfers,travelling distance and crowdedness on the passenger route choice was analyzed qualitatively and quantitatively.(4)The influence of congestion degree and number of transfers was considered in the generalized path cost,the form of the congestion degree coefficient is redefined to make it more relevant to the actual passenger flow.The continuous average algorithm is used to solve the problem of passenger flow distribution in rail transit network based on user equilibrium situation.(5)Python was used to implement the entire rail transit network path search algorithm and network passenger flow distribution model.The example calculation results of Suzhou rail transit show that the theoretical method of the paper has a very good basic value in practical application.