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A V2I-based real-time traffic density estimation system in urban scenarios

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A V2I-based real-time traffic density estimation system in urban scenarios

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dc.contributor.author Barrachina, Javier es_ES
dc.contributor.author Garrido, Piedad es_ES
dc.contributor.author Fogue, Manuel es_ES
dc.contributor.author Martínez, Francisco J. es_ES
dc.contributor.author Cano Escribá, Juan Carlos es_ES
dc.contributor.author Tavares de Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.date.accessioned 2016-05-16T09:16:22Z
dc.date.available 2016-05-16T09:16:22Z
dc.date.issued 2015-07
dc.identifier.issn 0929-6212
dc.identifier.uri http://hdl.handle.net/10251/64102
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/s11277-015-2392-4 es_ES
dc.description.abstract The number of vehicles in our roads is drastically increasing, especially in developing countries. In addition, these vehicles tend to be concentrated in urban areas which present a large population. Since traffic jams have important and mostly negative consequences, such as increasing travel time, fuel consumption, and air pollution, governments are making efforts to alleviate the increasing traffic pressure, being vehicular density one of the main metrics used for assessing the road traffic conditions. However, vehicle density is highly variable in time and space, making it difficult to be estimated accurately. In this paper, we present a solution to estimate the density of vehicles in urban scenarios. Our proposal, that has been specially designed for vehicular networks, allows intelligent transportation systems to continuously estimate vehicular density by accounting for the number of beacons received per road side unit (RSU), and also considering the roadmap topology where the RSUs are located. Using V2I communications, we are able to estimate the traffic density in a certain area, which represents a key parameter to perform efficient traffic redirection, thereby reducing the vehicles’ travel time and avoiding traffic. es_ES
dc.description.sponsorship This work was partially supported by the Ministerio de Ciencia e Innovacion, Spain, under Grant TIN2011-27543-C03-01, and by the Government of Aragon and the European Social Fund (T91 Research Group). en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag es_ES
dc.relation.ispartof Wireless Personal Communications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Vehicular networks es_ES
dc.subject Vehicular density estimation es_ES
dc.subject V2I communications es_ES
dc.subject Road side unit es_ES
dc.subject VANETs es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title A V2I-based real-time traffic density estimation system in urban scenarios es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11277-015-2392-4
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2011-27543-C03-01/ES/WALKIE-TALKIE: SOPORTE A ENTORNOS DE TRANSPORTE SEGURO, INTELIGENTE Y SOSTENIBLE PARA LA FUTURA GENERACION DE COCHES INTELIGENTES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Barrachina, J.; Garrido, P.; Fogue, M.; Martínez, FJ.; Cano Escribá, JC.; Tavares De Araujo Cesariny Calafate, CM.; Manzoni, P. (2015). A V2I-based real-time traffic density estimation system in urban scenarios. Wireless Personal Communications. 83(1):259-280. https://doi.org/10.1007/s11277-015-2392-4 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/article/10.1007%2Fs11277-015-2392-4 es_ES
dc.description.upvformatpinicio 259 es_ES
dc.description.upvformatpfin 280 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 83 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 290375 es_ES
dc.identifier.eissn 1572-834X
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Gobierno de Aragón es_ES
dc.contributor.funder European Social Fund es_ES
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