dc.creator | Caceres, Noelia | es |
dc.creator | Romero Pérez, Luis Miguel | es |
dc.creator | Benitez, Francisco G. | es |
dc.date.accessioned | 2018-11-15T12:15:58Z | |
dc.date.available | 2018-11-15T12:15:58Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Cáceres 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.issn | 0197-6729 | es |
dc.identifier.uri | https://hdl.handle.net/11441/80231 | |
dc.description.abstract | The 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.sponsorship | Spanish Ministry of Science through R&D National Programmes (TRA2005-09138, ENE2008-05552) | es |
dc.description.sponsorship | Vodafone Spain through the Minerva Project (1C-021) | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | John Wiley & Sons, Ltd. | es |
dc.relation.ispartof | Journal of Advanced Transportation, 47 (7), 650-666. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Transport demand | es |
dc.subject | O–D matrix estimation | es |
dc.subject | Traffic flow | es |
dc.subject | Mobile phone data | es |
dc.title | Inferring origin–destination trip matrices from aggregate volumes on groups of links: a case study using volumes inferred from mobile phone data | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería y Ciencia de los Materiales y del Transporte | es |
dc.relation.projectID | TRA2005-09138 | es |
dc.relation.projectID | ENE2008-05552 | es |
dc.relation.projectID | 1C-021 | es |
dc.relation.publisherversion | https://onlinelibrary.wiley.com/doi/full/10.1002/atr.187 | es |
dc.identifier.doi | 10.1002/atr.187 | es |
dc.contributor.group | Universidad de Sevilla. TEP118: Ingeniería de los Transportes | es |
idus.format.extent | 17 p. | es |
dc.journaltitle | Journal of Advanced Transportation | es |
dc.publication.volumen | 47 | es |
dc.publication.issue | 7 | es |
dc.publication.initialPage | 650 | es |
dc.publication.endPage | 666 | es |
dc.contributor.funder | Ministerio de Educación y Ciencia (MEC). España | |