| With the development of urban rail transit,the passenger flow is increasing rapidly,which brings a lot of pressure and challenges to the operation of urban rail transit.Without connecting closely with the transportation organization plan,the traditional analytical method is difficult to mine the time-space distribution of passenger flow on the network.Therefore,it is necessary to study the passenger flow distribution of urban rail transit network in a multi-level and finegrained way,so as to provide quantitative basis and decision support for the optimization of transportation organization.This paper studies the passenger flow distribution of urban rail transit network by simulation,which lays the foundation for analyzing the overcrowding on the platform.Then,this paper puts forward the adjustment method of stop schedule plan of empty train.The main research contents are as follows:Firstly,the characteristics and influencing factors of passenger flow distribution of urban rail transit network are analyzed.On the basis of the related theories of passenger flow distribution deduction,the algorithm for searching effective path set is established,and the route choice model is constructed.Based on the comparison of the principle and the implementation mechanism of the existing two methods of passenger flow distribution deduction,the simulation method is selected for passenger flow distribution deduction according to the refinement requirements.Secondly,the basic framework of the simulation is determined.Based on the data structure of Automatic Fare Collection system and the train timetable,the simulation agents such as passengers and trains are defined.The workflow of simulation and the interaction mechanism between the simulation agents are emphasized.This paper simulates the passenger flow distribution of urban rail transit network by C#,and the accuracy of the simulation is studied through error analysis.According to this,the passenger flow distribution index system based on simulation is established.Thirdly,the causes of platform congestion are analyzed,and the adaptability of the empty train plan is demonstrated.Base on the theoretical research status of stop schedule plan,this paper focuses on the time-varying passenger flow and the limitation of train capacity.Aimming at minimizing the maximum number of instantaneous waiting passengers at each platform of a unidirectional single line,this paper proposed an integer programming model with 0-1 decision variables.Besides,the validation method of this model is proposed base on our simulation.Finally,taking Chengdu Metro network as an example,the whole day passenger flow distribution simulation is carried out,which helps locate the platform with maximum instantaneous waiting passengers in the network by quantitative analysis.Aiming at the target line,CPLEX Solver is applied to solve the optimization model of stop schedule plan of empty train.Based on the simulation,the effect and influence of the optimization scheme are analyzed from the multi-level structure,including platform,line and network.The maximum number of instantaneous waiting passengers of each platform of the target line is reduced by37%,which verifies the practicability of the model. |
