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A microscopic evaluation of railway timetable robustness and critical points
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. Trafikverket, Sundbyberg, Sweden.
Birmingham Centre for Railway Research and Education, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6880-8549
2017 (English)In: Journal of Rail Transport Planning & Management, ISSN 2210-9706, E-ISSN 2210-9714, Vol. 7, no 4, p. 207-223Article in journal (Refereed) Published
Abstract [en]

One method to increase the quality of railway traffic flow is to construct a more robust timetable in which trains are able both to recover from delays and the delays are prevented from propagating. Previous research results show that the indicator Robustness in Critical Points (RCP) can be used to increase timetable robustness. In this paper we present the use of a method for RCP optimization: how it can be assessed ex-post via microscopic simulation. From the evaluation we learn more about how increased RCP values influence a timetable's performance. The aim is to understand more about RCP increase at a localised level within a timetable in terms of effects to the pairs of trains that are part of the indicator. We present a case study where an initial timetable and a timetable with increased RCP values are evaluated. The ex-post evaluation includes the quantification of measures concerning train-borne delay and robustness of operations, as well as measures capturing the subsequent quality of service experienced by passengers to assess the broader effects of improved robustness. The result shows that it is necessary to use several key performance indicators (KPIs) to evaluate the effects of an RCP increase. The robustness increases at a localised level, but the results also indicate that there is a need to analyse the relationship between ex-post measures and RCP further, to improve the method used to increase RCP and thus its overall effect on timetable robustness.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 7, no 4, p. 207-223
Keywords [en]
Railway timetabling, Robustness, Microscopic simulation, Key performance indicators
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-144359DOI: 10.1016/j.jrtpm.2017.08.005ISI: 000449594000001Scopus ID: 2-s2.0-85028622634OAI: oai:DiVA.org:liu-144359DiVA, id: diva2:1174766
Conference
7th International Conference on Railway Operations Modelling and Analysis, RailLille 2017
Projects
Capacity4Rail
Funder
EU, FP7, Seventh Framework Programme, 605650
Note

This paper is based on the manuscript “A Microscopic Evaluation of Robustness in Critical Points” by E. Solinen, G. Nicholson and A. Peterson, presented at the 7th International Conference on Railway Operations Modelling and Analysis, RailLille 2017.

Available from: 2018-01-16 Created: 2018-01-16 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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Citation style
  • apa
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Output format
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