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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.2017.08.005Scopus 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: 2018-02-22Bibliographically approved

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Solinen, EmmaPeterson, Anders
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