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dc.contributor.authorOlsson, Nils
dc.date.accessioned2020-09-04T11:15:08Z
dc.date.available2020-09-04T11:15:08Z
dc.date.created2020-09-02T11:05:26Z
dc.date.issued2020
dc.identifier.citationTransportation Research Procedia. 2020, 47 641-647.en_US
dc.identifier.issn2352-1465
dc.identifier.urihttps://hdl.handle.net/11250/2676422
dc.description.abstractThis paper studies how time delays spread through the railway system. We evaluate timetable and rolling stock interaction in relation to medium size delays. In particular, we study the connection between arrival and departure delays for trains that are operated by the same rolling stock individual. We studied one year of data for trains circulating in the Oslo area. Research questions in this study are: What is the connection between arrival and departure delays for the same piece of rolling stock? How can delays be tracked through the route schedules and the rolling stock circulation plan? Punctuality analysis was performed to investigate if there is a connection between arrival and departure delays. A correlation analysis of the arrival delays and the corresponding departures was done in order to find the possible connection. There was a connection between the size of arrival delays and the size of the corresponding departure delays. We found a threshold at around 20 minutes. An arrival delay over this threshold is expected to cause departure delays. Below the threshold most of the arrival delays are absorbed.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleTrain punctuality analysis in a rolling stock perspectiveen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber641-647en_US
dc.source.volume47en_US
dc.source.journalTransportation Research Procediaen_US
dc.identifier.doi10.1016/j.trpro.2020.03.142
dc.identifier.cristin1826670
dc.description.localcode© 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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