Last-Train Timetabling under Transfer Demand Uncertainty: Mean-Variance Model and Heuristic Solution
Joint Authors
Yang, Lixing
Yang, Kai
Yang, Shuo
Shi, Jungang
Ziyou, Gao
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-08
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Traditional models of timetable generation for last trains do not account for the fact that decision-maker (DM) often incorporates transfer demand variability within his/her decision-making process.
This study aims to develop such a model with particular consideration of the decision-makers’ risk preferences in subway systems under uncertainty.
First, we formulate an optimization model for last-train timetabling based on mean-variance (MV) theory that explicitly considers two significant factors including the number of successful transfer passengers and the running time of last trains.
Then, we add the mean-variance risk measure into the model to generate timetables by adjusting the last trains’ departure times and running times for each line.
Furthermore, we normalize two heterogeneous terms of the risk measure to provide assistance in getting reasonable results.
Due to the complexity of MV model, we design a tabu search (TS) algorithm with specifically designed operators to solve the proposed timetabling problem.
Through computational experiments involving the Beijing subway system, we demonstrate the computational efficiency of the proposed MV model and the heuristic approach.
American Psychological Association (APA)
Yang, Shuo& Yang, Kai& Ziyou, Gao& Yang, Lixing& Shi, Jungang. 2017. Last-Train Timetabling under Transfer Demand Uncertainty: Mean-Variance Model and Heuristic Solution. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1170743
Modern Language Association (MLA)
Yang, Shuo…[et al.]. Last-Train Timetabling under Transfer Demand Uncertainty: Mean-Variance Model and Heuristic Solution. Journal of Advanced Transportation No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1170743
American Medical Association (AMA)
Yang, Shuo& Yang, Kai& Ziyou, Gao& Yang, Lixing& Shi, Jungang. Last-Train Timetabling under Transfer Demand Uncertainty: Mean-Variance Model and Heuristic Solution. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1170743
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170743