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Synergistic Optimization Method for URT Network Train Connection Scheme in Peak and Off-Peak Periods

Authors :
Xu, Ruihua
Song, Xuyang
Zhou, Feng
Wang, Fangsheng
Source :
Journal of Advanced Transportation. October 20, 2022, Vol. 2022
Publication Year :
2022

Abstract

In this study, we developed a method for coordinating and optimizing the train connection plans of different lines under the conditions of urban rail transit (URT) network operation. The method allows trains of different lines to form good connections at transfer stations, which can shorten the waiting time of passengers for transfers and reduce passenger retention. A mathematical model was developed to simulate the interaction between passengers and trains. Two optimization models were developed for the train connection plan of network transfer stations based on different optimization objectives during peak and off-peak hours. Subsequently, a corresponding solution method based on a genetic algorithm and simulation was designed. Finally, the Suzhou URT network was used as a case study, and the passenger flow of the transfer station was simulated and calculated using relevant automatic fare collection (AFC) data. The results indicated that the average waiting time and the number of passengers stranded were reduced using the proposed method. The calculation example demonstrated the effectiveness of the model and algorithm, which can guide the coordinated preparation of a network train connection plan.<br />Author(s): Ruihua Xu [1]; Xuyang Song [1]; Feng Zhou [1]; Fangsheng Wang (corresponding author) [1] 1. Introduction With the development of the urban rail transit (URT) network, the number of [...]

Details

Language :
English
ISSN :
01976729
Volume :
2022
Database :
Gale General OneFile
Journal :
Journal of Advanced Transportation
Publication Type :
Academic Journal
Accession number :
edsgcl.724583658
Full Text :
https://doi.org/10.1155/2022/6431231