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Reseach Article

Survey of Traffic Congestion Detection using VANET

by Heba El-sersy, Ayman El-sayed
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 4
Year of Publication: 2015
Authors: Heba El-sersy, Ayman El-sayed
10.5120/cae-1520

Heba El-sersy, Ayman El-sayed . Survey of Traffic Congestion Detection using VANET. Communications on Applied Electronics. 1, 4 ( March 2015), 14-20. DOI=10.5120/cae-1520

@article{ 10.5120/cae-1520,
author = { Heba El-sersy, Ayman El-sayed },
title = { Survey of Traffic Congestion Detection using VANET },
journal = { Communications on Applied Electronics },
issue_date = { March 2015 },
volume = { 1 },
number = { 4 },
month = { March },
year = { 2015 },
issn = { 2394-4714 },
pages = { 14-20 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume1/number4/320-1520/ },
doi = { 10.5120/cae-1520 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T18:37:34.347080+05:30
%A Heba El-sersy
%A Ayman El-sayed
%T Survey of Traffic Congestion Detection using VANET
%J Communications on Applied Electronics
%@ 2394-4714
%V 1
%N 4
%P 14-20
%D 2015
%I Foundation of Computer Science (FCS), NY, 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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Index Terms

Computer Science
Information Sciences

Keywords

Congestion Detection VANET V2V