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Quantifying railway timetable robustness in critical points
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Trafiksystem, Traffic Systems)
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Trafiksystem, Traffic Systems)ORCID iD: 0000-0001-6880-8549
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. Blekinge Institute of Technology, Department of Computer Science and Engineering, Karlskrona, Sweden . (Trafiksystem, Traffic Systems)
2013 (English)In: Journal of Rail Transport Planning & Management, ISSN 2210-9706, E-ISSN 2210-9714, Vol. 3, no 3, p. 95-110Article in journal (Refereed) Published
Abstract [en]

Several European railway traffic networks experience high capacity consumption during large parts of the day resulting in delay-sensitive traffic system with insufficient robustness. One fundamental challenge is therefore to assess the robustness and find strategies to decrease the sensitivity to disruptions. Accurate robustness measures are needed to determine if a timetable is sufficiently robust and suggest where improvements should be made.

Existing robustness measures are useful when comparing different timetables with respect to robustness. They are, however, not as useful for suggesting precisely where and how robustness should be increased. In this paper, we propose a new robustness measure that incorporates the concept of critical points. This concept can be used in the practical timetabling process to find weaknesses in a timetable and to provide suggestions for improvements. In order to quantitatively assess how crucial a critical point may be, we have defined the measure Robustness in Critical Points (RCP). In this paper, we present results from an experimental study where a benchmark of several measures as well as RCP has been done. The results demonstrate the relevance of the concept of critical points and RCP, and how it contributes to the set of already defined robustness measures.

Place, publisher, year, edition, pages
Elsevier, 2013. Vol. 3, no 3, p. 95-110
Keywords [en]
Delay management; Railway traffic; Robustness measures; Timetabling
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-106703DOI: 10.1016/j.jrtpm.2013.12.002OAI: oai:DiVA.org:liu-106703DiVA, id: diva2:717992
Available from: 2014-05-19 Created: 2014-05-19 Last updated: 2025-01-02Bibliographically approved
In thesis
1. Improving railway timetable robustness: Development and application of robustness indicators
Open this publication in new window or tab >>Improving railway timetable robustness: Development and application of robustness indicators
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Railway transportation offers the potential of transporting a large number of goods and people in a fast and environment-friendly way. A tendency seen over the last decades is a growing demand for capacity, and the increased number of operating trains has led to a high capacity consumption and a delay-sensitive system. Frequent delays result in high costs for the train operating companies, the infrastructure provider as well as high costs for the travellers and society overall. Robust timetables are essential to reduce delays and keep them from propagating. In this thesis, we analyse how timetable robustness can be assessed and increased. The primary aim is to establish quantitative indicators of timetable robustness that can be used to evaluate the robustness and identify weaknesses. The second aim of the thesis is to develop an approach for how the indicators can be used to increase the robustness.

The thesis addresses both theoretical and practical gaps regarding timetable robustness. It introduces the concept of critical points and contributes with two new robustness indicators, Robustness in Critical Points (RCP) and Robustness in Passing Points (RPP). Both RCP and RPP capture the connection between heterogeneity, runtime supplement and headway time in a unique way. The thesis also contributes with a method to measure and increase timetable robustness. The method is implemented in an optimisation tool, to illustrate how robustness can be automatically improved in the future. It is also implemented as real-world planning rules that can be used to support timetable planners in their daily work. The results show that it is possible to increase robustness with the use of RCP and RPP. Higher indicator values lead to less train delays and an increased punctuality.

This thesis consists of two parts. First, the scope of the research is described, with background knowledge on the problem, followed by the motivation, research framework, contributions and conclusions. The second part consists of five appended papers where the research is presented in detail.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2025. p. 57
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2415
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-210583 (URN)10.3384/9789180758567 (DOI)9789180758550 (ISBN)9789180758567 (ISBN)
Public defence
2025-02-07, K3, Kåkenhus, Campus Norrköping, Norrköping, 13:15 (English)
Opponent
Supervisors
Available from: 2025-01-02 Created: 2025-01-02 Last updated: 2025-01-02Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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