Disruption Management in Railway Systems by Safe Place Assignment

Anna Livia Croella (), Veronica Dal Sasso (), Leonardo Lamorgese (), Carlo Mannino () and Paolo Ventura ()
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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

Transportation Science, 2022, vol. 56, issue 4, 938-952

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.

Keywords: disruption management; safe place assignment; train rescheduling (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:56:y:2022:i:4:p:938-952

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