ABEONA monitored traffic: VANET-assisted cooperative traffic congestion forecasting

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dc.contributor.author Gramaglia, Marco
dc.contributor.author Calderón Pastor, María Carmen
dc.contributor.author Bernardos Cano, Carlos Jesús
dc.date.accessioned 2022-11-18T09:54:14Z
dc.date.available 2022-11-18T09:54:14Z
dc.date.issued 2014-06
dc.identifier.bibliographicCitation IEEE Vehicular Technology Magazine, (2014), 9(2), pp.: 50-57.
dc.identifier.issn 1556-6072
dc.identifier.uri http://hdl.handle.net/10016/36043
dc.description.abstract The existing mechanisms to monitor vehicular traffic, such as the use of induction loops and cameras, are expensive to deploy and maintain. Vehicular communications opens up a new world of optimization opportunities as each vehicle can be used as a sensor to measure the fundamental variables defining the traffic state (flow, density, and speed). In this article, we propose ABEONA, a beacon-based traffic congestion algorithm and also the name of the Roman goddess of journey, which captures the current and recent-past traffic trends to forecast the near-future road conditions. Compared to the existing monitoring approaches, ABEONA allows for the estimation of the vehicular density and reduces installation and maintenance costs. ABEONA's algorithm incurs low overhead and enables drivers to use forecast traffic congestion events to replan their route accordingly.
dc.format.extent 8
dc.language.iso eng
dc.publisher IEEE
dc.rights ©2014 IEEE.
dc.subject.other Monitoring
dc.subject.other Estimation
dc.subject.other VANET
dc.subject.other Synchronization
dc.subject.other Cameras
dc.subject.other Intelligent vehicles
dc.subject.other Road traffic
dc.title ABEONA monitored traffic: VANET-assisted cooperative traffic congestion forecasting
dc.type research article
dc.description.status Publicado
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/MVT.2014.2312238
dc.rights.accessRights open access
dc.identifier.publicationfirstpage 50
dc.identifier.publicationissue 2
dc.identifier.publicationlastpage 57
dc.identifier.publicationtitle IEEE Vehicular Technology Magazine
dc.identifier.publicationvolume 9
dc.identifier.uxxi AR/0000016392
dc.affiliation.dpto UC3M. Departamento de Ingeniería Telemática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Network Technologies
dc.type.hasVersion AM
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