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dc.contributor.author
Vansteenwegen, Pieter
dc.contributor.author
Van Thielen, Sofie
dc.contributor.author
Corman, Francesco
dc.contributor.editor
Peterson, Anders
dc.contributor.editor
Joborn, Martin
dc.contributor.editor
Bohlin, Markus
dc.date.accessioned
2019-10-08T08:18:46Z
dc.date.available
2019-10-07T18:17:47Z
dc.date.available
2019-10-08T08:18:46Z
dc.date.issued
2019-09-13
dc.identifier.isbn
978-91-7929-992-7
en_US
dc.identifier.issn
1650-3686
dc.identifier.issn
1650-3740
dc.identifier.uri
http://hdl.handle.net/20.500.11850/368930
dc.identifier.doi
10.3929/ethz-b-000368930
dc.description.abstract
Train timetables are built such that trains can drive without any delay. However, in real-time, unexpected events such as overcrowded platforms or small mechanical defects can cause conflicts, i.e., two trains requiring the same part of the infrastructure at the same time. Currently, such conflicts are typically resolved by experienced dispatchers. However, it is impossible for them to fully anticipate the impact of their actions on the entire network. Conflict detection and prevention tools embedded in a Traffic Management System can help them in making informed decisions. Though some advanced train movement prediction and conflict detection has been developed in the last years, there still exists a need for conflict prevention strategies capable of delivering conflict resolutions on large and complex networks based on retiming, reordering and rerouting some of the trains in real-time. Our previous work introduced such a conflict prevention strategy that, based on offline calculations, determined which part of the network should be regarded when deciding on a conflict resolution. This work is significantly extended here by considering several new parameters for the Dynamic Impact Zone heuristic. This paper compares results on different sizes of networks, and tackles the challenges for applying the strategy on even larger networks.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Linköping University Electronic Press
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc/4.0/
dc.subject
Conflict resolution
en_US
dc.subject
Real-time railway management
en_US
dc.subject
Dispatching
en_US
dc.subject
Large networks
en_US
dc.title
A conflict prevention strategy for large and complex networks in real-time railway traffic management
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution-NonCommercial 4.0 International
ethz.book.title
RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th – 20th, 2019
en_US
ethz.journal.title
Linköping Electronic Conference Proceedings
ethz.journal.volume
69
en_US
ethz.pages.start
1099
en_US
ethz.pages.end
1116
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
8th International Conference on Railway Operations Modelling and Analysis (RailNorrköping 2019)
en_US
ethz.event.location
Norrköping, Sweden
en_US
ethz.event.date
June 17-20, 2019
en_US
ethz.publication.place
Linköping
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::09611 - Corman, Francesco / Corman, Francesco
en_US
ethz.date.deposited
2019-10-07T18:18:13Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-10-08T08:18:59Z
ethz.rosetta.lastUpdated
2019-10-08T08:18:59Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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