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dc.creatorCaceres, Noeliaes
dc.creatorRomero Pérez, Luis Migueles
dc.creatorBenitez, Francisco G.es
dc.date.accessioned2018-11-15T12:15:58Z
dc.date.available2018-11-15T12:15:58Z
dc.date.issued2013
dc.identifier.citationCáceres Sánchez, N., Romero Pérez, L.M. y García Benítez, F. (2013). Inferring origin–destination trip matrices from aggregate volumes on groups of links: a case study using volumes inferred from mobile phone data. Journal of Advanced Transportation, 47 (7), 650-666.
dc.identifier.issn0197-6729es
dc.identifier.urihttps://hdl.handle.net/11441/80231
dc.description.abstractThe origin–destination matrix is an important source of information describing transport demand in a region. Most commonly used methods for matrix estimation use link volumes collected on a subset of links in order to update an existing matrix. Traditional volume data collection methods have significant shortcomings because of the high costs involved and the fact that detectors only provide status information at specified locations in the network. Better matrix estimates can be obtained when information is available about the overall distribution of traffic through time and space. Other existing technologies are not used in matrix estimation methods because they collect volume data aggregated on groups of links, rather than on single links. That is the case of mobile systems. Mobile phones sometimes cannot provide location accuracy for estimating flows on single links but do so on groups of links; in contrast, data can be acquired over a wider coverage without additional costs. This paper presents a methodology adapted to the concept of volume aggregated on groups of links in order to use any available volume data source in traditional matrix estimation methodologies. To calculate volume data, we have used a model that has had promising results in transforming phone call data into traffic movement data. The proposed methodology using vehicle volumes obtained by such a model is applied over a large real network as a case study. The experimental results reveal the efficiency and consistency of the solution proposed, making the alternative attractive for practical applications.es
dc.description.sponsorshipSpanish Ministry of Science through R&D National Programmes (TRA2005-09138, ENE2008-05552)es
dc.description.sponsorshipVodafone Spain through the Minerva Project (1C-021)es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherJohn Wiley & Sons, Ltd.es
dc.relation.ispartofJournal of Advanced Transportation, 47 (7), 650-666.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectTransport demandes
dc.subjectO–D matrix estimationes
dc.subjectTraffic flowes
dc.subjectMobile phone dataes
dc.titleInferring origin–destination trip matrices from aggregate volumes on groups of links: a case study using volumes inferred from mobile phone dataes
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería y Ciencia de los Materiales y del Transportees
dc.relation.projectIDTRA2005-09138es
dc.relation.projectIDENE2008-05552es
dc.relation.projectID1C-021es
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/full/10.1002/atr.187es
dc.identifier.doi10.1002/atr.187es
dc.contributor.groupUniversidad de Sevilla. TEP118: Ingeniería de los Transporteses
idus.format.extent17 p.es
dc.journaltitleJournal of Advanced Transportationes
dc.publication.volumen47es
dc.publication.issue7es
dc.publication.initialPage650es
dc.publication.endPage666es
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). España

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Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional