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Survey of Traffic Congestion Detection using VANET

Heba El-sersy, Ayman El-sayed Published in Information Sciences

Communications on Applied Electronics
Year of Publication: 2015
© 2014 by CAE Journal
10.5120/cae-1520

Heba El-sersy and Ayman El-sayed. Article: Survey of Traffic Congestion Detection using VANET. Communications on Applied Electronics 1(4):14-20, March 2015. Published by Foundation of Computer Science, New York, USA. BibTeX

@article{key:article,
	author = {Heba El-sersy and Ayman El-sayed},
	title = {Article: Survey of Traffic Congestion Detection using VANET},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {1},
	number = {4},
	pages = {14-20},
	month = {March},
	note = {Published by Foundation of Computer Science, New York, USA}
}

Abstract

Traffic congestion is a major problem in modern societies where around the world millions of hours and gallons of fuel are wasted everyday by vehicles stuck in traffic. Traffic congestion estimation using vehicular ad hoc networks can have many interesting applications. This survey summarizes the research on traffic information systems based on vehicular ad hoc networks. Two classes of such systems are studied: Infrastructureless solutions based on inter-vehicle communication and infrastructure-based solutions. Systems within Infrastructureless class are briefly introduced and their strengths and weaknesses are analyzed.

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Keywords

Congestion Detection, VANET, V2V