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A study of the performance and utilization of the Swedish railway network
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. (Rail Traffic Group)ORCID iD: 0000-0002-5192-8074
2010 (English)In: Road and Rail Infrastructure / [ed] Stjepan Lakušić, University of Zagreb , 2010Conference paper, Published paper (Refereed)
Abstract [en]

Many lines in the Swedish railway network are heavily utilized and the demand forfreight transport and passenger traffic is increasing. The Swedish National RailAdministration has been forced to declare some sections to be overloaded andwith the up-coming deregulation of railway traffic, the load is going to increaseeven more.This paper describes how the performance of the entire Swedish railway networkhas been investigated and the results. Data from several different databases(supplied by the Swedish Railway Administration) has been processed. The dataconsists of the scheduled timetable, data about the design of the infrastructureand operational data such as recorded delays, train weights and train lengths.To perform the calculations, the railway network has been divided into 123sections. The division has been made according to traffic patterns and type ofinfrastructure (single-track, double-track). For each line, the data has been usedto calculate several descriptive parameters, e.g. delay development, number oftrains/h during different parts of the day, time for the peak hour, inter-stationdistance, track length, train length, train weight, total mass/day (freight trains),train average speed and the heterogeneity of the train speeds.Together, all of the parameters form a picture of the traffic flows in the Swedishrailway grid and identifies the characteristics of the different lines such as: load,traffic mix, delay situation and infrastructure performance. The information can beused to detect deficiencies and propose possible solutions.Finally, the correlation between the calculated parameters and the delay situationhas been investigated.

Place, publisher, year, edition, pages
University of Zagreb , 2010.
Keyword [en]
performance, capacity, load, traffic mix, delay
National Category
Transport Systems and Logistics
Research subject
Järnvägsgruppen - Kapacitet
Identifiers
URN: urn:nbn:se:kth:diva-76815ISBN: 978-953-6272-38-9 (print)OAI: oai:DiVA.org:kth-76815DiVA: diva2:491188
Conference
CETRA 2010. Opatija, Croatia. 17-18 May 2010
Note

QC 20120418

Available from: 2012-02-06 Created: 2012-02-06 Last updated: 2015-09-02Bibliographically 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
2. Railway capacity analysis: Methods for simulation and evaluation of timetables, delays and infrastructure
Open this publication in new window or tab >>Railway capacity analysis: Methods for simulation and evaluation of timetables, delays and infrastructure
2015 (English)Doctoral 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 transportation. To meet this new demand, railways play an important role. Today, the capacity of the Swedish rail network is not upgraded at the pace 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 maximum capacity is reached when the marginal gain of operating one extra train is lower than the costs in terms of longer travel times and increased sensitivity to delays.

Several different 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 train delays. 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, traffic heterogeneity, primary delays and inter-station distance on secondary delays, used timetable allowance and capacity. The analysis gives an in-depth understanding of the mechanisms of railway operation on double-track lines.

A simulation model for strategic capacity evaluation, TigerSim, is developed that can be used to speed up and improve capacity planning and evaluation of future infrastructure and timetables designs on double-track railway lines. For a given infrastructure and plan of operation, the model can be used to generate and simulate a larger number of timetables. This gives two major advantages:

  • Using many timetables makes results general
  • It is possible to consider both static and dynamic properties of the timetables in the capacity analysis

The first aspect is especially useful in the evaluation of future scenarios as the timetable then often is unknown. The second is an advantage since an improvement in capacity can be measured in a combination of increased frequency of service, shorter travel time and reduced delays. The output of the model can either be used to directly determine capacity from a quality of service perspective, or used as input to cost-benefit analysis (CBA).

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2015. x, 67 p.
Series
TRITA-TSC-PHD, 15:002
National Category
Transport Systems and Logistics
Research subject
Järnvägsgruppen - Kapacitet
Identifiers
urn:nbn:se:kth:diva-172916 (URN)978-91-87353-65-9 (ISBN)
Public defence
2015-09-22, Kollegiesalen, Brinellvägen 8, KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20150902

Available from: 2015-09-02 Created: 2015-09-01 Last updated: 2015-09-02Bibliographically approved

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