A Simulation Optimization Method for Rail Transit Network under Partial Blockages

DOI

10.2991/978-94-6463-610-9_31How to use a DOI?

Keywords

Urban rail transit; Congestion propagation; Disruption management; Timetable rescheduling

Abstract

With the rapid development of urban rail transit, delays caused by equipment failures and other reasons are common occurrences. However, current operational adjustments primarily aim to recover the order of the line as quickly as possible without considering the changes in the spatiotemporal distribution of passengers on platforms and trains. To address this issue, this paper proposes a simulation optimization method for partial blockages in urban rail transit. Firstly, a fluid simulation model for urban rail transit is established, based on the passenger flow distribution in the network under normal operations, and the train schedules and passenger flow distribution of the affected lines are calculated according to the characteristics of the emergency. Subsequently, an optimization model for line capacity is developed, targeting the minimization of stranded passenger time costs and operational costs. The model examines the process and scope of the emergency’s spread in the network before and after adjustments. Finally, a case network is analyzed through simulation modeling, and the results demonstrate that the line capacity optimization model can effectively reduce the time cost of stranded passengers, validating the effectiveness of the simulation optimization approach.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - He Ma
AU  - Jinjin Tang
AU  - Min Deng
AU  - Chao Li
AU  - Qiuhan Dong
PY  - 2024
DA  - 2024/12/16
TI  - A Simulation Optimization Method for Rail Transit Network under Partial Blockages
BT  - Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024)
PB  - Atlantis Press
SP  - 274
EP  - 285
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-610-9_31
DO  - 10.2991/978-94-6463-610-9_31
ID  - Ma2024
ER  -