Approach and application on high-speed train stop plan for better passenger transfer efficiency: the China case

Wencheng Huang and Bin Shuai

International Journal of Rail Transportation, 2019, vol. 7, issue 1, 55-78

Abstract: A customer-oriented dynamic cyclical adjustment approach is applied to optimize a high-speed railway train stop plan, which includes five steps that should be repeated until reasonable passenger transfer efficiency is reached. First, an improved Frank-Wolfe algorithm is used to assign passenger flow. Second, the obtained train stop plan is evaluated. Finally, the evaluation result is used as a feedback to adjust the train stop plan, a new line plan scheme with new train stop plan is obtained, and another passenger flow distribution is applied. A numerical experiment is carried out by taking the Beijing-Shanghai high-speed railway network in China as a background.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/23248378.2018.1489741 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjrtxx:v:7:y:2019:i:1:p:55-78

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjrt20

DOI: 10.1080/23248378.2018.1489741

Access Statistics for this article

International Journal of Rail Transportation is currently edited by Wanming Zhai and Kelvin C. P. Wang

More articles in International Journal of Rail Transportation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().