Research On Subway Operation Map Optimization For Complex Dynamic Change Passenger Flow Demand

The passenger flow demand of urban rail transit changes dramatically over time in a day,which requires managers to develop a train diagram that matches the dynamic passenger flow demand.At present,the non-periodic operation map with equal intervals is widely used,i.e.one day(within the operation period)is divided into several different periods according to the passenger flow demand,and different periods are started with equal intervals.However,this operation map is difficult to match the subway lines connected with high-speed rail,there are many transfer stations and the passenger flow distribution in the same period is not continuous and balanced.This will result in passenger flow in high-speed rail junction station not evacuated in time during peak period and redundant capacity during peak period.For this reason,this paper adopts unequal interval departure mode to optimize the subway operation map,taking into account the dynamic requirements of inbound passenger flow connecting the high-speed rail junction station and transit passenger flow inside the subway system.The main research contents and conclusions are as follows:Firstly,subway passenger flow characteristics analysis.According to the four basic elements of passenger flow,flow direction,flow time and distance,the composition of subway passenger flow is analyzed,and a method to judge the unbalanced space-time distribution of subway passenger flow is introduced.Taking Suzhou Rail Transit Line 3 as an example,the source,format and data processing method of the large data of AFC rail transit obtained in this paper are introduced,and the space-time distribution characteristics of passenger flow of this line as well as the high-speed rail transfer station are analyzed.Passenger flow distribution of transfer and non-transfer stations in the subway system.Secondly,research on the distribution law of passenger flow inside the high-speed rail junction connecting to the subway system.Taking Dongzhimen Station,a railway station in Suzhou New Area that connects the high-speed railway hub,and the transfer station inside the subway system as an example,based on AFC card swipe data and subway arrival time data,respectively,a mathematical model is constructed to estimate and analyze the arrival rate of passenger flow.Compared with the actual passenger arrival rate obtained by investigation,the accuracy of the model built in this paper can reach more than 90%,which can better estimate the time distribution of passenger arrival at the platform.Thirdly,construction of subway operation map optimization model considering the transfer requirements of the whole line.In actual operation,only considering the demand of incoming passenger flow connecting the high-speed rail hub station will lead to the increase of passenger travel time at other stations.Therefore,from the line level,this paper considers the dynamic passenger flow demand of the transfer station on the whole line as a whole,and constructs the optimization model of the subway operation map,aiming at minimizing passenger travel costs and enterprise operating costs,and designs the non-dominant sequencing algorithm(NSGA-Ⅱ)to solve the model.The results show that compared with the original operation diagram,the passenger travel costs in high and flat peak periods are reduced by the optimized scheme in this paper,and the matching degree between the operation diagram and passenger arrival rate of each transfer station is higher,which provides scientific basis for rational allocation of subway capacity resources and formulation of more efficient operation diagram.