Rolling stock shunt operation planning in urban rail transit depots with maintenance consideration
This study investigates the daily rolling stock shunt operation planning in a rail depot. Given the layout of a depot and the rolling stocks (that arrive at and depart from this depot within an operation day) with given maintenance schedule, the studied problem lies in determining: 1) the position w...
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| Vydané v: | Transportation research. Part B: methodological Ročník 199; s. 103252 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Elsevier Ltd
01.09.2025
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| Predmet: | |
| ISSN: | 0191-2615 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | This study investigates the daily rolling stock shunt operation planning in a rail depot. Given the layout of a depot and the rolling stocks (that arrive at and depart from this depot within an operation day) with given maintenance schedule, the studied problem lies in determining: 1) the position where each rolling stock is parked, outside washed, and/or maintained, and 2) the conflict-free shunting plan of rolling stocks to move within a depot. We transform the track-circuits in the depot into different multi-layer directed graphs to illustrate the shunting processes of rolling stocks. By means of these graphs, we formulate the studied problem as a mixed integer linear programming model by considering a more general variant of four requirements that make sense in practice but are not or rarely considered in previous works and by presenting a flexible technique to model the track capacity, to reduce the additional shunting movements of rolling stocks. Besides, we design a two-stage decomposition manner to efficiently solve real-life problem instances, wherein the problem in each stage is addressed by a presented logic-based Benders decomposition algorithm enhanced by customized acceleration mechanisms. Finally, a set of realistic and real-life instances with different scales (derived from the largest depot of the Chongqing Rail Transit Line 3 in China) are investigated. Computational results demonstrate that our best algorithm solves a real-life instance to optimality in approximately 8 s that is considerably shorter than the time of rail staffs to solve this instance manually, thus our approach can provide strong automatical computer-aided decision supports. Our approach is also very efficient in optimizing another objective that is also widely used, and can provide management insights to rail staffs.
•We address the rolling stock shunt operation planning in an urban rail transit depot.•We introduce an integer linear model by considering practically relevant requirements.•We design a two-stage decomposition manner enhanced by logic-based Benders decomposition.•Customized acceleration mechanisms are developed to speedup our approach.•Our approach provides insights and strong automatic supports to rail dispatchers. |
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| ISSN: | 0191-2615 |
| DOI: | 10.1016/j.trb.2025.103252 |