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A Microscopic Evaluation of Robustness in Critical Points
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. Trafikverket, Sundbyberg, Sweden. (Trafiksystem, Traffic Systems)
Birmingham Centre for Railway Research and Education, University of Birmingham, Unnited Kingdom.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering. (Trafiksystem, Traffic Systems)
2017 (English)In: 7th International Conference on RailwayOperations Modelling and Analysis (RailLille 2017) / [ed] N. Tomii, I.A. Hansen, J. Rodriguez, P. Pellegrini, S. Dauzère-Pérès, D. De Almeida, International Association of Railway Operations Research , 2017, p. 83-103, article id 1705Conference paper, Published paper (Refereed)
Abstract [en]

One method to increase the quality of railway traffic flow is to construct a more robust timetable in which trains are able to both 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 can be implemented and assessed ex-post via microscopic simulation and subsequently evaluated. 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 traffic flow, 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 will increase 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
International Association of Railway Operations Research , 2017. p. 83-103, article id 1705
Keywords [en]
Railway timetabling, Robustness, Microscopic simulation, Key Performance Indicators
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-136715OAI: oai:DiVA.org:liu-136715DiVA, id: diva2:1090010
Conference
7th International Conference on Railway Operations Modelling and Analysis (RailLille 2017), Lille, France April 4th-7th 2017
Funder
EU, FP7, Seventh Framework Programme, 605650Available from: 2017-04-21 Created: 2017-04-21 Last updated: 2018-03-19Bibliographically approved

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A Microscopic Evaluation of Robustness in Critical Points(19168 kB)34 downloads
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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