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Modeling duration of urban traffic congestion

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dc.contributor.author Stathopoulos, A en
dc.contributor.author Karlaftis, MG en
dc.date.accessioned 2014-03-01T01:18:03Z
dc.date.available 2014-03-01T01:18:03Z
dc.date.issued 2002 en
dc.identifier.issn 0733-947X en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/14775
dc.subject Models en
dc.subject Traffic congestion en
dc.subject Urban areas en
dc.subject.classification Engineering, Civil en
dc.subject.classification Transportation Science & Technology en
dc.subject.other Probability en
dc.subject.other Traffic control en
dc.subject.other Traffic congestion en
dc.subject.other Transportation en
dc.subject.other traffic congestion en
dc.subject.other urban transport en
dc.title Modeling duration of urban traffic congestion en
heal.type journalArticle en
heal.identifier.primary 10.1061/(ASCE)0733-947X(2002)128:6(587) en
heal.identifier.secondary http://dx.doi.org/10.1061/(ASCE)0733-947X(2002)128:6(587) en
heal.language English en
heal.publicationDate 2002 en
heal.abstract Research on short-term traffic conditions prediction has been largely concerned with parameters such, as flow, occupancy, and speed, ignoring at the same time predictions during congestion, a period when predictions are needed the most. Stemming from the practical need to predict traffic parameters during congested periods, this paper uses the principles of duration modeling to address an important question: given the onset of congestion, how long will it last? As such, the goal of this paper is to propose an approach for estimating the duration of congestion on a given road section and the probability that, given its onset, congestion will end during the following time period. The results indicate that the Loglogistic functional form best describes congestion duration, and that the probability of congestion ending within a specified time period is likely if it has lasted up to approximately 12 min (with a peak at 6 min). Further, it was found that if congestion lasted over 21 min it was probably caused by something external to the traffic system events. en
heal.publisher ASCE-AMER SOC CIVIL ENGINEERS en
heal.journalName Journal of Transportation Engineering en
dc.identifier.doi 10.1061/(ASCE)0733-947X(2002)128:6(587) en
dc.identifier.isi ISI:000178824400013 en
dc.identifier.volume 128 en
dc.identifier.issue 6 en
dc.identifier.spage 587 en
dc.identifier.epage 590 en


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