Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
As a sustainable transportation mode, high-speed railway (HSR) has been developing rapidly during the past decade in China.
With the formation of dense HSR network, how to improve the utilization efficiency of train-sets (the carrying tools of HSR) has been a new research hotspot.
Moreover, the emergence of railway transportation hubs has brought great challenges to the traditional train-sets’ utilization mode.
Thus, in this paper, we address the issue of train-sets’ utilization problem with the consideration of railway transportation hubs, which consists of finding an optimal Train-set Circulation Plan (TCP) to complete trip tasks in a given Train Diagram (TD).
An integer programming TCP model is established to optimize the train-set utilization scheme, aiming to obtain the one-to-one correspondence relationship among sets of train-sets, trip tasks, and maintenances.
A genetic algorithm (GA) is designed to solve the model.
A case study based on Nanjing and Shanghai HSR transportation hubs is made to demonstrate the practical significance of the proposed method.
The results show that a more efficient TCP can be formulated by introducing train-sets being dispatched among different stations in the same hub.
American Psychological Association (APA)
Wang, Yun& Zhou, Yu& Yan, Xuedong. 2019. Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1170199
Modern Language Association (MLA)
Wang, Yun…[et al.]. Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm. Journal of Advanced Transportation No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1170199
American Medical Association (AMA)
Wang, Yun& Zhou, Yu& Yan, Xuedong. Optimizing Train-Set Circulation Plan in High-Speed Railway Networks Using Genetic Algorithm. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1170199
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170199