Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Deliverable 32.2: Capacity impacts of innovations
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6880-8549
Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, The Netherlands.
Swedish Transport Administration, Sweden.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Show others and affiliations
2017 (English)Report (Other academic)
Abstract [en]

Deliverable D32.2 “Capacity impacts of innovations” summarizes the results of the Capacity 4 Rail work package WP3.2 “Simulation and models to evaluate enhanced capacity (infrastructure and operation)”. Capacity in the railway system can be divided in strategic level (planning of infrastructure), tactical level (timetabling) and operational level (dispatching). Closely related to the operational planning are Driver Advisory Systems (DAS), which in the future may be extended towards fully automatized driving.

At strategic level an analysis have been made about line capacity and train capacity for future rail freight corridors. The analysis shows how to increase capacity for future freight trains 2030/2050, by extending the train capacity well as the line capacity and the combination of train and line capacity for futures scenarios.

In the future, the processes for tactical and operational planning are merging, meaning that the timetable is no longer a static, or annually updated, product, but a working document that is improved successively, until handed over to operational management. Also in the operational management, we believe that control by planning is a good strategy. Processes for capacity and timetable planning, as well as timetable and traffic simulation systems are under development. The amount of available data is increasing.

The main research results of Capaciyt 4Rail SP 3.2 have been:

1. A model framework for modelling and planning of demand and supply of capacity at various levels with micro simulation, data analysis and optimisation. By combining these methods especially tactical and operational planning and control can be improved, and hence, enabling more trains and/or increased on-time performance.

2. A statistical model (LiU model) to forecast delay propagation. The model relies on the theory of Bayesian networks, and can be used both for planning and informing.

3. A demonstrator, CAIN, an extension to the KADR system for timetable and operational traffic developed by Oltis group Czech. The CAIN tool is connected to the LiU model and relies on data from Railsys (micro level infrastructure, complete tracklayout modelled) and Trafikverket database of disturbances and delays Lupp. The demonstrator has been set-up for Malmö – Hallsberg, a part of the Scandinavian Mediterranean corridor TEN-T network. It has given us new knowledge about interaction between IM timetable system and optimisation/data analysis model to predict timetable robustness and punctuality in the network due to changes in the timetable.

4. A separate analysis of space–time points in the timetable critical for robustness. The study of critical points in this project has given knowledge about how to use the method when data is known at micro level, represented by RailSys. The improved robustness is also set in relation to other key performance indicators.

Place, publisher, year, edition, pages
2017. , p. 225
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:liu:diva-160520OAI: oai:DiVA.org:liu-160520DiVA, id: diva2:1354451
Funder
EU, FP7, Seventh Framework Programme, SCP3-GA-2013-605650Available from: 2019-09-25 Created: 2019-09-25 Last updated: 2019-09-25Bibliographically approved

Open Access in DiVA

fulltext(11284 kB)3 downloads
File information
File name FULLTEXT01.pdfFile size 11284 kBChecksum SHA-512
0204dd48955cd2747d138fdc5526761068d76474e25b0c7f7b3194b1d44a2d56372993298af7ef294b802f69c9503867009a0012004ddfe925d2b320e8c406bd
Type fulltextMimetype application/pdf

Other links

Related document

Search in DiVA

By author/editor
Peterson, AndersKecman, PavleRingdahl, Rasmus
By organisation
Communications and Transport SystemsFaculty of Science & Engineering
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 3 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 15 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf