Change search
ReferencesLink to record
Permanent link

Direct link
Estimation of Arterial Travel Time from Automatic Number Plate Recognition Data
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
2013 (English)In: Transportation Research Record, ISSN 0361-1981, no 2391, 22-31 p.Article in journal (Refereed) Published
Abstract [en]

Automatic vehicle identification (AVI) systems are increasingly used for the collection of traffic data in urban and freeway networks. Several methods have been proposed for the estimation of travel times from AVI data, mainly for freeways. The problem of estimation of travel times in urban networks was examined. The main difference between freeway and urban networks is that urban network AVI data are often extremely noisy. A major part of that noise is attributed to vehicles that do not traverse the monitored section directly but stop for various reasons. A mixture model was proposed to capture the underlying states of the measurements of AVI travel times in urban areas. The hypothesis was that travel times are drawn from two (or more) populations, one representing normal movement through the network and one representing vehicles that stop for whatever reason. The method was applied with AVI data (collected through a system for automatic recognition of number plates) from a number of corridors in central Stockholm, Sweden. The model was estimated as a mixture-of two lognormal distributions, and bootstrap standard errors were calculated. The results illustrate the robustness of the method and its ability to identify the underlying distribution of the latent populations consistent with the characteristics of each route, while standard methods for outlier removal fail.

Place, publisher, year, edition, pages
2013. no 2391, 22-31 p.
Keyword [en]
Vehicle Identification Data, Reliability
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-145792DOI: 10.3141/2391-03ISI: 000335365700003ScopusID: 2-s2.0-84897134326OAI: diva2:721101

QC 20140603

Available from: 2014-06-03 Created: 2014-06-02 Last updated: 2014-06-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Kazagli, EvanthiaKoutsopoulos, Haris N.
By organisation
Transport ScienceTraffic and Logistics
In the same journal
Transportation Research Record
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: 36 hits
ReferencesLink to record
Permanent link

Direct link