 Optimal Train Rescheduling in Oslo Central StationCarlo Mannino and Andreas Nakkerud Omega, 2023, vol. 116, issue C Abstract: Real-time train dispatching (i.e., rescheduling and replatforming) in passenger railway stations is a very important and very challenging task. In most major stations, this task is carried out by hand by highly trained dispatchers who use their extensive experience to find near-optimal solutions under most conditions. With several simultaneous deviations from the timetable, however, the traffic situation may become too complex for any human to handle it far beyond finding feasible solutions. As part of a prototype for a dispatching support tool developed in collaboration with Bane NOR (Norwegian rail manager), we develop an approach for Optimal Train Rescheduling in large passenger stations. To allow for replatforming, we extend the standard job-shop scheduling approach to train-scheduling, and we develop and compare different MILP formulations for this extended approach. With this approach, we can find, in just a few seconds, optimal plans for our realistic instances from Oslo Central Station, the largest passenger train hub in Norway. The prototype will be tested by dispatchers in the greater Oslo area, starting from the fall of 2021. Keywords: Integer programming; Optimization; Rail transport; Dispatching; Scheduling; Routing (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:116:y:2023:i:c:s030504832200202x Ordering information: This journal article can be ordered from DOI: 10.1016/j.omega.2022.102796 Access Statistics for this article Omega is currently edited by B. Lev More articles in Omega from Elsevier |
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