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Towards a comprehensive model for track allocation and roll-time scheduling at marshalling yards
RISE - Research Institutes of Sweden, ICT, SICS.
RISE - Research Institutes of Sweden, ICT, SICS.
RISE - Research Institutes of Sweden, ICT, SICS.
RISE - Research Institutes of Sweden, ICT, SICS.
2017 (English)In: Journal of Rail Transport Planning & Management, ISSN 2210-9706, E-ISSN 2210-9714, Vol. 7, no 3, p. 157-170Article in journal (Refereed) Published
Abstract [en]

This paper considers multi-stage train formation with mixed usage tracks at a marshalling yard without departure yard. A novel integer programming model for scheduling shunting tasks as well as allocating arrival yard tracks and classification bowl tracks is presented. By taking a comprehensive view of the marshalling yard operations, more effective schedules can be found, and a variety of characteristics can be optimised, including shunting work effort, number or cost of tracks, and shunting task start times. Two different objective functions are evaluated: minimising work effort in terms of wagon pull-backs and minimising track costs. A procedure for finding a hot-start solution with few wagon pull-backs is also presented. The proposed model is tested on real data from Sävenäs marshalling yard in Sweden. The results show that the method is able to return an optimal schedule for a planning period of 4 days if the hot-start solution is optimal or the remaining problem is tractable for the heuristics in CPLEX.

Place, publisher, year, edition, pages
2017. Vol. 7, no 3, p. 157-170
Keyword [en]
Integer programming, Marshalling, Optimisation, Railways, Shunting, Classification yards, Heuristic methods, Optimization, Scheduling, Vehicles, Comprehensive model, Integer programming models, Marshalling yards, Objective functions, Optimisations
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33213DOI: 10.1016/j.jrtpm.2017.06.002Scopus ID: 2-s2.0-85021855568OAI: oai:DiVA.org:ri-33213DiVA: diva2:1179255
Available from: 2018-01-31 Created: 2018-01-31 Last updated: 2018-01-31Bibliographically approved

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