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Research On Collaborative Optimization Of Passenger Train Operation Plan Considering The Influence Mechanism Of Passenger Flow Feedback

Posted on:2023-05-08Degree:MasterType:Thesis
Country:ChinaCandidate:W X HuangFull Text:PDF
GTID:2542307073492174Subject:Transportation engineering
Abstract/Summary:PDF Full Text Request
With the opening and operation of various types of rail transit,there are parallel sections of coordinated operation between various modes of rail transit,and passengers have more diversified travel choices.In this context,in order to realize the rational allocation of multi-standard rail transit capacity resources and the rational allocation of passengers in various modes,it is necessary to carry out collaborative optimization research on multi-standard passenger train operation scheme.On the basis of summarizing and learning from the research results of operation schemes at home and abroad,taking the coordinated operation of multi-standard rail transit as the research background,this paper analyzes the interaction between passenger travel choice behavior and train operation scheme,and puts forward the feedback optimization framework of passenger travel choice and operation scheme design.Firstly,the model of passenger travel mode choice is established by studying the behavior of passenger travel mode choice in railway transportation corridor.Secondly,established a system more collaborative optimization model of passenger train plan,and the influence of passenger flow change caused by passenger travel choice behavior on the operation scheme is further considered,which is optimized and adjusted by circular feedback,so as to realize the dynamic balance between passenger flow distribution in the transportation channel and passenger train operation scheme,and make rational use of the transportation capacity resources of each rail transit system.The details are as follows:(1)Construct the feedback optimization framework of passenger travel choice and travel plan design.Through the analysis of the influencing factors of the design and optimization of travel plan,and the influencing factors of passenger travel choice,the interaction between the two is studied,and the feedback optimization framework of passenger travel choice behavior and train travel plan design is constructed.(2)Establish the model of passenger travel mode selection for railway transport channel.Through the analysis of the travel process and decision-making process of passengers in the passage,the travel choice behavior is studied.On this basis,based on the stochastic utility theory and MNL discrete selection model,the factors affecting passenger travel choice are selected and quantified,and the passenger travel utility function and passenger flow sharing rate calculation model are constructed.The SP questionnaire was designed to collect and analyze the basic data of wuhan-Guangzhou railway transportation corridor,and the parameters of the model were estimated using Trans CAD.(3)The collaborative optimization model of multi-standard passenger train operation scheme is established.This paper takes minimizing the operating cost of railway passenger transport enterprises and maximizing passenger travel satisfaction as the objective function,and takes the passenger flow demand between stations,train occupancy rate,section passing capacity,station capacity,etc.as constraints,establishing a multi-standard passenger train operation plan model,and design a genetic algorithm to solve it in combination with the characteristics of the model.Based on the feedback optimization framework of passenger travel choice and operation scheme design proposed in this paper,the collaborative optimization process of passenger train operation scheme considering the influence mechanism of passenger flow feedback is established.(4)Taking the Wuhan Guangzhou railway transport corridor as the object,the operation scheme results under the initial passenger flow and the operation scheme results after passenger flow feedback are obtained by using the above-mentioned multistandard passenger train operation scheme collaborative optimization model and feedback optimization process.Through comparative analysis,the results show that the operation scheme obtained through passenger flow feedback not only improves passenger travel satisfaction,but also reduces the operation cost of railway passenger transport enterprises,makes the overall system considering the interests of both enterprises and passengers better,realizes the dynamic balance between passenger flow distribution in the transport channel and passenger train operation scheme,and improves the effectiveness of the operation scheme.
Keywords/Search Tags:Train operation scheme, Multi-system rail transit, Travel mode choice behavior, Feedback optimization, Genetic algorithm
PDF Full Text Request
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