Font Size: a A A

Research On The Maximum Synchronous Transfer Method Of Conventional Bus Connecting To Rail Transit Hubs

Posted on:2022-10-06Degree:MasterType:Thesis
Country:ChinaCandidate:S Q PangFull Text:PDF
GTID:2492306740483554Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
With the acceleration of urbanization and the increasing expansion of the cities,the total ridership and the average travel distance have been increasing rapidly.However,the contradiction between traffic supply and traffic demand has intensified and the urban traffic congestion has become increasingly severe because of the disequilibrium between traffic supply and traffic demand.At present,public transportation has been proved to be one of the most effective strategies to alleviate traffic congestion.The optimization of trasnfer hubs is an important branch of transfer optimization,which is one of the important research orientations in the field of public transportation.The quality of transfer is closely related to public transportation service level and passenger travel satisfaction.From the perspective of operation coordination,thesis focuses on the potential transfer relationships in rail transit hubs and studies the maximum synchronous transfer method for buses connected to rail transit hubs.This study can be able to ensure the efficient connection of various transfer modes in the hub,improve the transfer efficiency and thereby further enhance the attractiveness of public transportation.Firstly,the basic theoretical research on synchronous transfers is carried out.The core of synchronous transfer is to coordinate the arrival time of the vehicles of different lines at the same transfer station,so that the difference in arrival time of these lines at the station can satisfy some certain conditions,which is to reduce the transfer waiting time.According to the definition of synchronous transfer,thesis divides it into two categories: synchronous transfer without time window and that with time window.It is summarized and deeply analyed the influencing factors,the measurement indicators and typical mathematical models of synchronous transfer.Secondly,thesis analyzes the synchronous transfer mode of buses connecting to rail transit hubs.After explaining the characteristics of rail transit hubs,transfer modes has been analyzed detailedly,whcih is divided into four types including rail transit to rail transit,bus to bus,rail transit to bus,and bus to rail transit.The transfer process,the characteristics and sychronous realization condition of various transfer modes are specifically analyzed.Moreover,the method for determining the priority of multi-mode synchronous transfer is proposed.Thereafter,an optimization model of the maximum synchronous transfer schedule of conventional buses connected to metro hubs is built.Focusing on the schedules of buses connected to the metro hub,the optimization model aims to maximize the number of synchronizations based on the priority of the transfer mode,which is restricted by departure time constraints,the first and last bus departure time constraints,the headway constraints and the synchronous arrivals constraints.Genetic algorithm with adaptive probabilities of crossover and mutation is proposed to solve the model,which improves the standard genetic algorithm.Finally,a case study of Youfangqiao metro station in Nanjing is conducted to verify the validity of the proposed model.With the programming in MATLAB,adaptive genetic algorithm and standard genetic algorithm are applied to solve the model.Through algorithm comparison,it is found that the evolution speed and convergence speed of the adaptive genetic algorithm are faster,which can effectively improve the standard genetic algorithm.Through the comparison of optimization results,it is found that the solution solved by the adaptive genetic algorithm is the optimum compared with the solution of standard genetic algorithm.The optimization ratio reaches 50.7%,which verified the feasibility and effectiveness of the model.
Keywords/Search Tags:rail transit hub, transfer optimization, synchronous transfer, Genetic Algorithm, self-adaption
PDF Full Text Request
Related items