Change search
ReferencesLink to record
Permanent link

Direct link
Real-Time Predictions for Light Rail Train Systems
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering. Delft University of Technology, Netherland.ORCID iD: 0000-0002-4506-0459
2014 (English)Conference paper (Refereed)
Abstract [en]

Public transport operations are subject to inherent uncertainty. Instantaneous vehicle positioning data facilitates the development of prediction schemes that could improve the accuracy and reliability of real-time information (RTI). There is lack of research on RTI for Light rail train (LRT) systems. LRT are characterized by driving regimes that depend on rolling stock and infrastructure specifications. This paper develops and tests two prediction schemes for rail-bound systems which are based on constructing link-specific speed profiles. The prediction schemes are applied for a LRT line in Bergen, Norway. The performance of the currently deployed scheme and alternative schemes is compared using 6 months empirical vehicle positioning data. The results indicate that the proposed methods improve the reliability of the prediction scheme and increase the share of errors smaller than 1 minute to 89%, up to par with metro systems. 

Place, publisher, year, edition, pages
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-165857DOI: 10.1109/ITSC.2014.6957651ISI: 000357868700012ScopusID: 2-s2.0-84937158642OAI: diva2:808934
The 17th International IEEE conference on Intelligent Transportation Systems (ITSC)

QC 20150608

Available from: 2015-04-29 Created: 2015-04-29 Last updated: 2015-08-14Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Cats, Oded
By organisation
Transport planning, economics and engineering
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar
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

Altmetric score

Total: 26 hits
ReferencesLink to record
Permanent link

Direct link