TY  - JOUR
PY  - 2022//
TI  - Disruption management in railway systems by safe place assignment
JO  - Transportation science
A1  - Croella, Anna Livia
A1  - Dal Sasso, Veronica
A1  - Lamorgese, Leonardo
A1  - Mannino, Carlo
A1  - Ventura, Paolo
SP  - 938
EP  - 952
VL  - 56
IS  - 4
N2  - 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>
LA  - en
SN  - 0041-1655
UR  - http://dx.doi.org/10.1287/trsc.2021.1107
ID  - ref1
ER  -