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dc.contributor.authorDjukic, Tamara
dc.contributor.authorBarceló Bugeda, Jaime
dc.contributor.authorBullejos, Manuel
dc.contributor.authorMontero Mercadé, Lídia
dc.contributor.authorCipriani, Ernesto
dc.contributor.authorvan Lint, Hans
dc.contributor.authorHoogendoorn, Serge
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2015-11-17T18:56:23Z
dc.date.available2015-11-17T18:56:23Z
dc.date.issued2015
dc.identifier.citationDjukic, T., Barceló, J., Bullejos, M., Lídia Montero, Cipriani, E., van Lint, H., Hoogendoorn, S. Advanced traffic data for dynamic OD demand estimation: the state of the art and benchmark study. A: Transportation Research Board Annual Meeting. "TRB 94th Annual Meeting Compendium of Papers". Washington D.C.: 2015, p. 1-16.
dc.identifier.urihttp://hdl.handle.net/2117/79383
dc.description.abstractIn this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate about their applications in dynamic OD estimation. This is done by discussing the advantages and disadvantages of traffic data with support of the findings of a benchmark study. The benchmark framework is designed to assess the performance of the dynamic OD estimation methods using different traffic data. Results show that despite the use of traffic condition data to identify traffic regime, the use of unreliable prior OD demand has a strong influence on estimation ability. The greatest estimation occurs when the prior OD demand information is aligned with the real traffic state or omitted and using information from AVI measurements to establish accurate and meaningful values of OD demand. A common feature observed by methods in this paper indicates that advanced traffic data require more research attention and new techniques to turn them into usable information.
dc.format.extent16 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
dc.subject.otherDynamic OD matrix estimation Traffic Management Benchmark study
dc.titleAdvanced traffic data for dynamic OD demand estimation: the state of the art and benchmark study
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. PROMALS - Grup de Recerca en Programació Matemática, Logística i Simulació
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://amonline.trb.org/trb57535-2015-1.1793793/t006-1.1818822/373-1.1820149/15-4266-1.1820150/15-4266-1.1955176?qr=1
dc.rights.accessOpen Access
local.identifier.drac15203916
dc.description.versionPostprint (author's final draft)
local.citation.authorDjukic, T.; Barceló, J.; Bullejos, M.; Montero, Lídia; Cipriani, E.; van Lint, H.; Hoogendoorn, S.
local.citation.contributorTransportation Research Board Annual Meeting
local.citation.pubplaceWashington D.C.
local.citation.publicationNameTRB 94th Annual Meeting Compendium of Papers
local.citation.startingPage1
local.citation.endingPage16


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