Research On Identification And Method Of Stations Restricting Passenger Flow Under Network Conditions

With the rapid development of urban rail transit,during peak hours on working days,crowded passenger flow often occurs in many urban rail transit station sections,resulting in the detention of platform passengers,which threatens the safe operation and management of urban rail transit to a certain extent.Because of this,major urban rail transit operation and management companies have issued routine flow-limiting policies.However,the specific implementation plan for current limiting is often only based on station operation experience,and most of the considerations are local factors.Therefore,the identification and method research of urban rail transit current-limiting stations under network conditions are proposed.In order to establish the current limit model of urban rail transit stations under the network conditions,first of all,the paper analyzes the network,lines and stations of the urban rail transit system from the aspects of full-day and peak passenger flow time characteristics,crosssectional passenger flow,station passenger flow,etc.The concept of crowded passenger flow in urban rail transit is further proposed,as well as the process of its formation,dissemination and dissipation.Aiming at the phenomenon of crowded passengers,the thesis makes further research on passenger flow control under network conditions.Secondly,the paper establishes the corresponding network topology based on the analysis of the basic structure of urban rail transit.After determining the status of the network flow at different times,in order to analyze the route selection results of peak-time passengers,a travel attribute survey was conducted on weekday morning and peak passengers,and it was concluded that weekday morning and peak passengers were familiar with the line network.The purpose of passenger travel is mainly commuting,and the factors taken into account when choosing a travel route are the time they spend.A multi-path selection Logit model is established to perform passenger flow distribution.Finally,a line network inbound passenger flow-interval passenger flow relationship model is established.Then,based on the aforementioned model,the paper constructs a multi-objective linear programming model.The model takes the maximum matching of the interval passenger flow and the interval transportation capacity and the minimization of total passenger delay as the objective function.The optimal arrival volume of each station at different time periods are the decision variable.Constraints are based on section capacity,station capacity,and passenger demand.Finally,the paper takes the Xi’an metro as an example,and based on the AFC data of early peak passenger trips on a working day of the Xi’an metro,the passenger trip OD data and the stations and sections of the Xi’an metro network are substituted into the inbound passengersection passenger flow model.Then,the passenger peak weekday rush stop data is substituted into the final linear programming model and solved by Lingo software.The results show that,compared with the traditional single-station traffic limitation,the proposed research method of urban rail transit current-limiting station identification under the network conditions has the advantages of achieving the best match between the passenger flow and the capacity of the interval and reducing the total number of delayed passengers.Obvious advantages can provide a reference for the operation of urban rail transit.