DocumentCode
2938716
Title
Assessing vehicular density estimation using vehicle-to-infrastructure communications
Author
Barrachina, Javier ; Fogue, Manuel ; Garrido, Pablo ; Martinez, Francisco J. ; Cano, Juan-Carlos ; Calafate, Carlos T. ; Manzoni, Pietro
Author_Institution
Comput. Sci. & Syst. Eng. Dept., Univ. of Zaragoza, Zaragoza, Spain
fYear
2013
fDate
4-7 June 2013
Firstpage
1
Lastpage
3
Abstract
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.
Keywords
estimation theory; radio receivers; road traffic; telecommunication network topology; telecommunication traffic; vehicular ad hoc networks; VANET; automatic traffic controlling system; intelligent transportation system; road side unit; road traffic condition; roadmap topology; traffic jam prediction; vehicle-to-infrastructure communication; vehicular density estimation; Cities and towns; Estimation; Junctions; Proposals; Roads; Topology; Vehicles; Road Side Unit; VANETs; Vehicular Networks; vehicular density estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2013 IEEE 14th International Symposium and Workshops on a
Conference_Location
Madrid
Print_ISBN
978-1-4673-5827-9
Type
conf
DOI
10.1109/WoWMoM.2013.6583416
Filename
6583416
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