Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Scheduled waiting time and delay in capacity evaluation of double-track railway lines
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Transportplanering, ekonomi och teknik. KTH, Skolan för teknikvetenskap (SCI), Centra, Järnvägsgruppen, JVG.ORCID-id: 0000-0002-5192-8074
(engelsk)Manuskript (preprint) (Annet vitenskapelig)
Emneord [en]
Railway, capacity, timetable, simulation, delay
HSV kategori
Forskningsprogram
Transportvetenskap
Identifikatorer
URN: urn:nbn:se:kth:diva-172850OAI: oai:DiVA.org:kth-172850DiVA, id: diva2:850192
Merknad

QS 2015

Tilgjengelig fra: 2015-09-01 Laget: 2015-09-01 Sist oppdatert: 2015-09-02bibliografisk kontrollert
Inngår i avhandling
1. Railway capacity analysis: Methods for simulation and evaluation of timetables, delays and infrastructure
Åpne denne publikasjonen i ny fane eller vindu >>Railway capacity analysis: Methods for simulation and evaluation of timetables, delays and infrastructure
2015 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
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).

sted, utgiver, år, opplag, sider
Stockholm: KTH Royal Institute of Technology, 2015. s. x, 67
Serie
TRITA-TSC-PHD ; 15:002
HSV kategori
Forskningsprogram
Järnvägsgruppen - Kapacitet
Identifikatorer
urn:nbn:se:kth:diva-172916 (URN)978-91-87353-65-9 (ISBN)
Disputas
2015-09-22, Kollegiesalen, Brinellvägen 8, KTH, Stockholm, 10:00 (engelsk)
Opponent
Veileder
Merknad

QC 20150902

Tilgjengelig fra: 2015-09-02 Laget: 2015-09-01 Sist oppdatert: 2015-09-02bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Personposter BETA

Lindfeldt, Anders

Søk i DiVA

Av forfatter/redaktør
Lindfeldt, Anders
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric

urn-nbn
Totalt: 129 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf