Optimization and simulation for robust railway rolling-stock planning

Abstract : In this paper, we focus on the problem of robust rolling-stock planning for French passenger trains. First, we characterize robustness and define some indicators for the evaluation of rolling-stock rosters. We take a particular interest in homogenizing turning-times in a roster in order to absorb potential delays. Then, we propose a new approach to solve the problem of robust rolling-stock planning. The SNCF reference tool (PRESTO) calculates a solution to the rolling-stock planning problem. It consists of a multi-step approach to cover demand while minimizing operating costs, and to further add maintenance slots to the roster. We propose an integrated ILP model to add robustness to a roster while maintaining low operating costs compared to PRESTO. We have carried out tests on nine real French regional transport instances, and we use a simulation module to evaluate the results. We observe a significant improvement in robustness indicators while maintaining low operating costs and meeting maintenance requirements.
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Journal articles
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https://hal.archives-ouvertes.fr/hal-01497842
Contributor : Sourour Elloumi <>
Submitted on : Wednesday, March 29, 2017 - 12:48:04 PM
Last modification on : Friday, January 24, 2020 - 11:00:15 AM

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Sabine Tréfond, Alain Billionnet, Sourour Elloumi, H. Djellab, Olivier Guyon. Optimization and simulation for robust railway rolling-stock planning. Journal of Rail Transport Planning & Management, 2017, ⟨10.1016/j.jrtpm.2017.02.001⟩. ⟨hal-01497842⟩

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