Print Email Facebook Twitter Macroscopic multiple-station short-turning model in case of complete railway blockages Title Macroscopic multiple-station short-turning model in case of complete railway blockages Author Ghaemi, N. (TU Delft Transport and Planning) Cats, O. (TU Delft Transport and Planning) Goverde, R.M.P. (TU Delft Transport and Planning) Date 2018-04-01 Abstract In case of railway disruptions, traffic controllers are responsible for dealing with disrupted traffic and reduce the negative impact for the rest of the network. In case of a complete blockage when no train can use an entire track, a common practice is to short-turn trains. Trains approaching the blockage cannot proceed according to their original plans and have to short-turn at a station close to the disruption on both sides. This paper presents a Mixed Integer Linear Program that computes the optimal station and times for short-turning the affected train services during the three phases of a disruption. The proposed solution approach takes into account the interaction of the traffic between both sides of the blockage before and after the disruption. The model is applied to a busy corridor of the Dutch railway network. The computation time meets the real-time solution requirement. The case study gives insight into the importance of the disruption period in computing the optimal solution. It is concluded that different optimal short-turning solutions may exist depending on the start time of the disruption and the disruption length. For periodic timetables, the optimal short-turning choices repeat due to the periodicity of the timetable. In addition, it is observed that a minor extension of the disruption length may result in less delay propagation at the cost of more cancellations. Subject OptimizationRailway disruptionShort-turning To reference this document use: http://resolver.tudelft.nl/uuid:9b613c07-cb5d-41c6-8a61-cbf704e08db6 DOI https://doi.org/10.1016/j.trc.2018.02.006 Embargo date 2018-08-10 ISSN 0968-090X Source Transportation Research. Part C: Emerging Technologies, 89, 113-132 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2018 N. Ghaemi, O. Cats, R.M.P. Goverde Files PDF 1_s2.0_S0968090X18301529_main.pdf 1.14 MB Close viewer /islandora/object/uuid:9b613c07-cb5d-41c6-8a61-cbf704e08db6/datastream/OBJ/view