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Disruption Management in Railway Systems by Safe Place Assignment

Author

Listed:
  • Anna Livia Croella

    (Sapienza University of Rome, Rome 00185, Italy)

  • Veronica Dal Sasso

    (OptRail, Rome 00154, Italy)

  • Leonardo Lamorgese

    (OptRail, Rome 00154, Italy)

  • Carlo Mannino

    (SINTEF, Oslo 0314, Norway; University of Oslo, Oslo 01315, Norway)

  • Paolo Ventura

    (Istituto di Analisi dei Sistemi ed Informatica (IASI) del CNR, Rome 00185, Italy)

Abstract

When major disruptions occur in a rail network, the infrastructure manager and train operating companies may be forced to stop trains until the normal status is recovered. A crucial aspect is to identify, for each train, a location (a safe place ) where the train can hold during the disruption, avoiding to disconnect the network and allowing a quick recovering of the plan, at restart. We give necessary and sufficient conditions for a safe place assignment to have the desired property. We then translate such conditions into constraints of a suitable binary formulation of the problem. Computational results on a set of instances provided by a class 1 U.S. railroad show how the approach can be used effectively in the real-life setting that motivates the study, by returning optimal assignments in a fraction of a second.

Suggested Citation

  • Anna Livia Croella & Veronica Dal Sasso & Leonardo Lamorgese & Carlo Mannino & Paolo Ventura, 2022. "Disruption Management in Railway Systems by Safe Place Assignment," Transportation Science, INFORMS, vol. 56(4), pages 938-952, July.
    • Handle: RePEc:inm:ortrsc:v:56:y:2022:i:4:p:938-952
    DOI: 10.1287/trsc.2021.1107
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