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Dynamic railway traffic management during disturbances: focus on the complexity imposed by deregulation
Responsible organisation
2008 (English)Conference paper (Refereed) PublishedAlternative title
Dynamisk styrning av järnvägstrafik vid störningar : med fokus på komplexiteten i avregleringen (Swedish)
Abstract [en]

While the railway traffic volumes in Europe continuously are increasing, the networks are facing difficulties to meet the demand and suffer from congestion and disturbances that cause insufficient reliability. The need to forecast the effects of the disturbances and efficiently re-schedule the traffic becomes evident, and especially in a deregulated network, where several private operators with competing objectives share the same tracks. This paper presents results from an experimental study where five re-scheduling policies were evaluated by simulation using real data: Three optimisation-based policies that minimise the total final delay, the accumulated delay and the delay costs respectively, one First- Come-First-Served policy, and one policy prioritising trains on time. The optimisationbased policies performed overall best, but required more computation time.

Abstract [sv]

Att järnvägstransporterna ökar är mycket glädjande, men har aktualiserat kapacitetsproblem och medfört att trafiken har blivit allt känsligare för störningar. En mindre försening av ett enskilt tåg kan få stora följdeffekter på andra tåg. En utmaning är därför att operativt minimera effekterna av störningarna och denna artikel presenterar en experimentell studie där fem olika principer för trafikstyrning utvärderas.

Place, publisher, year, edition, pages
New York City, 2008.
Keyword [en]
Scheduling, Disturbance management, Optimisation, Railway traffic
National Category
Mathematics Computer Science
URN: urn:nbn:se:bth-7915Local ID: diva2:835588
ITSWC - Intelligent Transportation System World Congress
Available from: 2012-09-18 Created: 2010-01-13 Last updated: 2015-06-30Bibliographically approved

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Törnquist, Johanna
MathematicsComputer Science

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