A Practical Method for Timetable Rescheduling in Subway Networks during the End-of-Service Period

Joint Authors

Zhao, Peng
Xu, Wenkai
Ning, Liqiao

Source

Journal of Advanced Transportation

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-06-27

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

This study proposes a biobjective optimization method for timetable rescheduling during the end-of-service period of a subway network, taking all stakeholders’ interests into consideration.

We seek to minimize the total transfer waiting time for all transfer passengers, meanwhile minimizing the deviation to the scheduled timetable.

The ε-constraint method and linearization techniques are utilized to obtain the approximate Pareto optimal solutions within limited seconds, allowing for figuring out the trade-off between the two objectives.

The method is validated by numerical experiments for different delay scenarios based on a real-world case: the Beijing subway network.

American Psychological Association (APA)

Xu, Wenkai& Zhao, Peng& Ning, Liqiao. 2018. A Practical Method for Timetable Rescheduling in Subway Networks during the End-of-Service Period. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181458

Modern Language Association (MLA)

Xu, Wenkai…[et al.]. A Practical Method for Timetable Rescheduling in Subway Networks during the End-of-Service Period. Journal of Advanced Transportation No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1181458

American Medical Association (AMA)

Xu, Wenkai& Zhao, Peng& Ning, Liqiao. A Practical Method for Timetable Rescheduling in Subway Networks during the End-of-Service Period. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181458

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1181458