Rescheduling a metro line in an over-crowded situation after disruptions

Authors

Yuan Gao
Leo Kroon
Marie Schmidt
Lixing Yang

Document Type

Journal Article

Publication Date

2016

Subject Area

place - asia, mode - subway/metro, operations - crowding, operations - scheduling

Keywords

Rescheduling, Metro line, Skip-stop pattern, Passenger flow

Abstract

In the case of a metro disruption, the planned timetable cannot be operated and a large number of passengers are left stranded in the stations. When the disruption is over, some stations may be skipped in the recovery period, which speeds up the circulation of trains and makes the number of stranded passengers reduce faster. Considering an over-crowded and time-dependent passenger flow, this paper proposes an optimization model to reschedule a metro line. To achieve a balance between theoretical validity and computational convenience, the optimization model is decomposed, and an iterative algorithm is proposed to solve the model. Numerical experiments based on the Beijing Metro are carried out, the results of which verify the effectiveness and efficiency of our method.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part B Home Page:

http://www.sciencedirect.com/science/journal/01912615

Recommended Citation

Gao, Y., Kroon, L., Schmidt, M., & Yang, L. (2016). Rescheduling a metro line in an over-crowded situation after disruptions. Transportation Research Part B: Methodological Volume 93, Part A, pp. 425–449.