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Kapacitetsanalys av järnvägsnätet i Sverige: Delrapport 2, Bearbetning av databas över infrastruktur, trafik, tidtabell och förseningar
KTH, School of Architecture and the Built Environment (ABE), Transport and Economics (closed 20110301), Traffic and Logistics (closed 20110301). KTH, School of Engineering Sciences (SCI), Centres, The KTH Railway Group.ORCID iD: 0000-0002-5192-8074
2009 (Swedish)Report (Other academic)
Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2009. , 73 p.
Series
TRITA-TEC-RR, ISSN 1653-4484 ; 10-003
National Category
Transport Systems and Logistics
Research subject
Järnvägsgruppen - Kapacitet
Identifiers
URN: urn:nbn:se:kth:diva-76954ISBN: 978-91-85539-57-4 (print)OAI: oai:DiVA.org:kth-76954DiVA: diva2:491330
Note

TSC import 1155 2012-02-06. QC 20120417

Available from: 2012-02-06 Created: 2012-02-06 Last updated: 2015-07-16Bibliographically approved
In thesis
1. Congested railways: influence of infrastructure and timetable properties on delay propagation
Open this publication in new window or tab >>Congested railways: influence of infrastructure and timetable properties on delay propagation
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In this thesis the symptoms and underlying behaviour of congestion on railways are analysed and discussed. As well as in many other countries, Sweden faces increasing demand for transport. To meet this new demand, railways play an important role. Today, the capacity of the Swedish rail network is not upgraded at the speed necessary to keep up with the increase in traffic demand. The sensitivity of the railway system rises as the capacity utilisation increases. At some point the marginal gain of operating one extra train is lower than the costs in term of increased sensitivity to delay, i.e. maximum capacity has been reached.

Two methodologies are employed in this thesis to analyse capacity. The first uses real data from the Swedish rail network, train operation and delays to analyse how different factors influence available capacity and delay creation. Several useful key performance indicators are defined to describe capacity influencing properties of the infrastructure and the rail traffic. The rail network is divided into subsections for which the indicators have been estimated. This makes it possible to discern their different characteristics and identify potential weaknesses.

 The second approach employs the railway simulation tool RailSys in extensive simulation experiments. This methodology is used to analyse the characteristics of double track operation. Simulation of several hundred scenarios are conducted to analyse the influence of traffic density, timetable speed heterogeneity, primary delays and inter-station distance on secondary delays and used timetable allowance. The analysis gives an in-depth understanding of the mechanisms behind the performance of a double track.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012. x, 44 p.
Series
Trita-TSC-LIC, 12-005
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:kth:diva-97569 (URN)978-91-85539-90-1 (ISBN)
Presentation
2012-06-11, V2, KTH, Teknikringen 76, Stockholm, 14:15
Opponent
Supervisors
Note
QC 20120614Available from: 2012-06-14 Created: 2012-06-14 Last updated: 2012-06-14Bibliographically approved

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Type fulltextMimetype application/pdf

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http://www.kth.se/polopoly_fs/1.87106!/Menu/general/column-content/attachment/10-003RR_rapport.pdf

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Lindfeldt, Anders

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CiteExportLink to record
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Citation style
  • apa
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