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Research On The Optimization Model Of Coordinated Operation Of Bus And Urban Rail Transit

Posted on:2021-02-05Degree:MasterType:Thesis
Country:ChinaCandidate:J H HanFull Text:PDF
GTID:2392330614472125Subject:Road and Railway Engineering
Abstract/Summary:PDF Full Text Request
To develop public transport is the main way to solve the traffic problems in big cities.As the main undertaker of public transport,rail transit and conventional public transport have their own advantages in service function and scope.Only when they are organically combined to form a public transport system of coordinated operation,can the operation efficiency and service level of urban public transport be higher and better.Transfer station is the connection point of two kinds of public transport modes.The layout of the station and the coordinated operation of the passenger flow directly affect the transfer efficiency and service level.Based on the planning or existing rail transit stations,this paper studies the layout optimization of the surrounding conventional bus stations and the operation coordination between the two modes of public transport.The main research contents and achievements are as follows:(1)The optimization model of conventional bus station around urban rail transit station is established.On the basis of determining the scale of the local transfer network,taking the minimum travel time of passengers within the research scope as the optimization objective,taking the distance between conventional bus stops and the principle of station setting as the constraints,taking the passenger transfer walking distance as the decision variable,the optimization model of conventional bus stop location is established to optimize the layout of bus stop location.(2)The collaborative optimization model of conventional public transport and rail transit is established.Based on the consideration of waiting time,in transit time,transfer time and the number of vehicles required by rail transit and conventional public transport,the model takes the total travel time and operation cost of passengers as the optimization objective,and takes the value range of departure interval between rail transit and conventional public transport as the constraint condition,taking the initial departure time and departure interval of rail transit and conventional public transport as decision variables,the collaborative optimization model of the operation of conventional public transport and urban rail transit is established,and the solution algorithm of the optimization model is designed based on genetic algorithm.(3)Taking Qingdao Metro Line 6(phase I)and the local transfer network composed of four conventional buses as an example,the optimization of the bus station location at the transfer node and the collaborative optimization of the operation of four conventional buses and the online network level of line 6(phase I)are carried out respectively.In the optimization calculation of four bus station locations in three transfer node areas,the passenger transfer time around Huanghe Road Metro station is reduced by 5.65%;the passenger transfer time around qichangcheng Road Metro station is reduced by 37.84% and 31.84% respectively;the passenger transfer time around Qiantangjiang Road Metro station is reduced by 46.12%.In the operation collaborative optimization calculation,the waiting time of passengers is reduced by 40.06%,the transfer time is reduced by 35.5%,and the total travel time is reduced by 10.9%.Although the number of metro vehicles and public transport vehicles is increased,the target function value is reduced by 30.8%.To sum up,the optimization model can effectively reduce the transfer time and total travel time of passengers at the transfer node,and make the operation coordination between conventional public transport and rail transit better.It can be considered that the model has a better optimization effect and has a certain use value.
Keywords/Search Tags:Regular buses, Urban Rail Transit, Station location optimization, Operational collaboration, Genetic algorithm
PDF Full Text Request
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