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I-VDE: A Novel Approach to Estimate Vehicular Density by Using Vehicular Networks

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I-VDE: A Novel Approach to Estimate Vehicular Density by Using Vehicular Networks

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dc.contributor.author Barrachina Villalba, Javier es_ES
dc.contributor.author Garrido Picazo, María 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 2016-10-04T12:51:19Z
dc.date.available 2016-10-04T12:51:19Z
dc.date.issued 2013
dc.identifier.isbn 978-3-642-39246-7
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/71132
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-39247-4_6 es_ES
dc.description.abstract Road traffic is experiencing a drastic increase in recent years, thereby increasing the every day traffic congestion problems, especially in cities. Vehicle density is one of the main metrics used for assessing the road traffic conditions. Currently, most of the existing vehicle density estimation approaches, such as inductive loop detectors or traffic surveillance cameras, require infrastructure-based traffic information systems to be installed at various locations. In this paper, we present I-VDE, a solution to estimate the density of vehicles that has been specially designed for Vehicular Networks. Our proposal allows Intelligent Transportation Systems to continuously estimate the vehicular density by accounting for the number of beacons received per Road Side Unit, as well as the roadmap topology. Simulation results indicate that our approach accurately estimates the vehicular density, and therefore automatic traffic controlling systems may use it to predict traffic jams and introduce countermeasures. es_ES
dc.description.sponsorship This work was partially supported by the Ministerio de Ciencia e Innovaci´on, Spain, under Grant TIN2011-27543-C03-01, as well as by the Fundaci´on Universitaria Antonio Gargallo (FUAG), and the Caja de Ahorros de la Inmaculada (CAI)
dc.format.extent 12 es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof Ad-hoc, Mobile, and Wireless Network es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;7960
dc.rights Reserva de todos los derechos es_ES
dc.subject Vehicular networks es_ES
dc.subject Vehicular density estimation 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 I-VDE: A Novel Approach to Estimate Vehicular Density by Using Vehicular Networks es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1007/978-3-642-39247-4_6
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.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Barrachina Villalba, J.; Garrido Picazo, MP.; Fogue, M.; Martínez, FJ.; Cano Escribá, JC.; Tavares De Araujo Cesariny Calafate, CM.; Manzoni, P. (2013). I-VDE: A Novel Approach to Estimate Vehicular Density by Using Vehicular Networks. En Ad-hoc, Mobile, and Wireless Network. Springer. 63-74. https://doi.org/10.1007/978-3-642-39247-4_6 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 12th International Conference on Ad Hoc Networks and Wireless (ADHOC-NOW 2013) es_ES
dc.relation.conferencedate July 8-10, 2013 es_ES
dc.relation.conferenceplace Wrocław, Poland es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-642-39247-4_6 es_ES
dc.description.upvformatpinicio 63 es_ES
dc.description.upvformatpfin 74 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 257197 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Fundación Universitaria Antonio Gargallo
dc.contributor.funder Caja de Ahorros de la Inmaculada de Aragón
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