A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling
Joint Authors
Jia, Li-min
Qin, Yong
Xu, Jie
Wang, Li
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-25
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
A fuzzy optimization model based on improved symmetric tolerance approach is introduced, which allows for rescheduling high-speed railway timetable under unexpected interferences.
The model nests different parameters of the soft constraints with uncertainty margin to describe their importance to the optimization purpose and treats the objective in the same manner.
Thus a new optimal instrument is expected to achieve a new timetable subject to little slack of constraints.
The section between Nanjing and Shanghai, which is the busiest, of Beijing-Shanghai high-speed rail line in China is used as the simulated measurement.
The fuzzy optimization model provides an accurate approximation on train running time and headway time, and hence the results suggest that the number of seriously impacted trains and total delay time can be reduced significantly subject to little cost and risk.
American Psychological Association (APA)
Wang, Li& Qin, Yong& Xu, Jie& Jia, Li-min. 2012. A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling. Discrete Dynamics in Nature and Society،Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-501283
Modern Language Association (MLA)
Wang, Li…[et al.]. A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling. Discrete Dynamics in Nature and Society No. 2012 (2012), pp.1-22.
https://search.emarefa.net/detail/BIM-501283
American Medical Association (AMA)
Wang, Li& Qin, Yong& Xu, Jie& Jia, Li-min. A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling. Discrete Dynamics in Nature and Society. 2012. Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-501283
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501283