Improving railway maintenance schedules by considering hindrance and capacity constraints

F. Nijland, K. Gkiotsalitis*, E.C. van Berkum

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

The availability of railway networks is important for society and the economy. To keep the infrastructure in good condition, regular maintenance is needed. Regular maintenance is achieved by devising maintenance schedules that assign safe work zones to crews executing preventive maintenance activities. This study aims to optimize the maintenance schedules for both train operators and maintenance contractors, by considering (a) hindrance for parked passenger trains and planned freight trains, and (b) the workload for track workers. Further, maintenance operations are distinguished into different engineering fields (switches, straight tracks, and overhead wiring) since this influences the amount of hindrance. The method presented for designing maintenance schedules is a novel mixed-integer linear programming (MILP) model that considers these aspects. In our Dutch case study, we assess our new scheduling model and show that large improvements can be made in terms of mean workload for work crews and total hindrance for train operators. We also assess the computational costs when using exact (branch-and-bound) or metaheuristic solution methods for solving networks with up to 25 work zones.
Original languageEnglish
Article number103108
JournalTransportation Research Part C: Emerging Technologies
Volume126
DOIs
Publication statusPublished - 1 May 2021

Keywords

  • UT-Hybrid-D

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