Abstract

©2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Vehicle density is one of the main metrics used for assessing the road traffic conditions. In this paper, we present 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. Index Terms—Vehicular Networks, vehicular density estimation, Road Side Unit, VANETs. This work was partially supported by the Ministerio de Ciencia e Innovación, Spain, under Grant TIN2011-27543-C03-01. Barrachina Villalba, J.; Fogue, M.; Garrido, P.; Martínez, FJ.; Cano Escribá, JC.; Tavares De Araujo Cesariny Calafate, CM.; Manzoni, P. (2013). Assessing Vehicular Density Estimation Using Vehicle-to-Infrastructure Communications. IEEE. doi:10.1109/WoWMoM.2013.6583416 S


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The different versions of the original document can be found in:

http://dx.doi.org/10.1109/wowmom.2013.6583416
https://riunet.upv.es/handle/10251/67119,
https://ieeexplore.ieee.org/document/6583416,
https://academic.microsoft.com/#/detail/2029626044
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Published on 01/01/2013

Volume 2013, 2013
DOI: 10.1109/wowmom.2013.6583416
Licence: CC BY-NC-SA license

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