@article{ref1,
title="Disruption management in railway systems by safe place assignment",
journal="Transportation science",
year="2022",
author="Croella, Anna Livia and Dal Sasso, Veronica and Lamorgese, Leonardo and Mannino, Carlo and Ventura, Paolo",
volume="56",
number="4",
pages="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.<p /> <p>Language: en</p>",
language="en",
issn="0041-1655",
doi="10.1287/trsc.2021.1107",
url="http://dx.doi.org/10.1287/trsc.2021.1107"
}