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Considering the Optimization Design of Urban Bus Network Scheduling

Authors :
Xi Yu
Huan Cao
Ke Cao
Liang Zou
Lingxiang Zhu
Source :
Applied Sciences, Vol 14, Iss 14, p 6337 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

At present, the optimization of public transportation networks and vehicle scheduling are carried out independently in stages. However, through analysis, it has been found that scheduling information such as route schedules is an important factor related to passenger route selection. Therefore, in order to further improve the optimization effect, this article proposes an innovative idea of simultaneously optimizing the line network and scheduling. Based on the construction of a real–virtual public transportation network, this article constructs a synchronous optimization model for the line network and scheduling by considering both passenger waiting and on-board time. To achieve the consideration of passengers for different route choices, a shortest path traversal algorithm based on Yen was proposed to analyze the number and weight of the shortest paths between the same OD, and a genetic algorithm was used to solve the model. Finally, the effectiveness of the model was verified through numerical examples, and the results showed that synchronous optimization was superior to phased optimization: the passenger time cost was reduced by 21.5%, the bus operation cost was reduced by 13.7%, and the total bus system cost was reduced by 18.0%.

Details

Language :
English
ISSN :
20763417
Volume :
14
Issue :
14
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.9c13e2d5feb445b381c2039efc7b28ed
Document Type :
article
Full Text :
https://doi.org/10.3390/app14146337