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A parallel heuristic for fast train dispatching during railway traffic disturbances: Early results
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.ORCID iD: 0000-0001-9947-1088
Blekinge Institute of Technology, School of Computing.ORCID iD: 0000-0002-8373-8398
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Railways are an important part of the infrastructure in most countries. As the railway networks become more and more saturated, even small traffic disturbances can propagate and have severe consequences. Therefore, efficient re-scheduling support for the traffic managers is needed. In this paper, the train real-time re-scheduling problem is studied in order to minimize the total delay, subject to a set of safety and operational constraints. We propose a parallel greedy algorithm based on a depth-first branch-and-bound search strategy. A number of comprehensive numerical experiments are conducted to compare the parallel implementation to the sequential implementation of the same algorithm in terms of the quality of the solution and the number of nodes evaluated. The comparison is based on 20 disturbance scenarios from three different types of disturbances. Our results show that the parallel algorithm; (i) efficiently covers a larger portion of the search space by exchanging information about improvements, and (ii) finds better solutions for more complicated disturbances such as infrastructure problems. Our results show that the parallel implementation significantly improves the solution for 5 out of 20 disturbance scenarios, as compared to the sequential algorithm.

Place, publisher, year, edition, pages
Vilamoura, Algarve, 2012.
Keywords [en]
Disturbance management, Multiprocessor, Optimization, Parallel computing, Railway traffic, Re-scheduling
National Category
Software Engineering Computer Sciences
Identifiers
URN: urn:nbn:se:bth-7060Local ID: oai:bth.se:forskinfoE904D0A9EED2D039C1257AC5004E3D5AISBN: 978-989842597-3 (print)OAI: oai:DiVA.org:bth-7060DiVA, id: diva2:834639
Conference
1st International Conference on Operations Research and Enterprise Systems, ICORES
Available from: 2012-12-20 Created: 2012-11-29 Last updated: 2021-12-16Bibliographically approved

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Iqbal, Syed Muhammad ZeeshanGrahn, HåkanTörnquist Krasemann,, Johanna

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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