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
Link To Document :
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