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Simulation of traffic congestion detection using VANETs

In this progressive world traffic congestion is a critical issue. It results in huge amount of time and resources loss. Vehicles in congestion is a valuable parameter for drivers to anticipate the state of congestion. The proposed approach is based on relating the relationship of different transmiss...

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Main Authors: Anjum, N., Badruddin, N., Drieberg, M.
Format: Conference or Workshop Item
Published: IEEE Computer Society 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335942&doi=10.1109%2fICIAS.2014.6869475&partnerID=40&md5=50cd635ad9fbe3698bac959a59469264
http://eprints.utp.edu.my/32159/
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spelling my.utp.eprints.321592022-03-29T05:00:31Z Simulation of traffic congestion detection using VANETs Anjum, N. Badruddin, N. Drieberg, M. In this progressive world traffic congestion is a critical issue. It results in huge amount of time and resources loss. Vehicles in congestion is a valuable parameter for drivers to anticipate the state of congestion. The proposed approach is based on relating the relationship of different transmission ranges with vehicle density. This research work uses a GrooveNet simulator, which is based on real street maps and plays a major role in discovering and disseminating congestion information. Our simulation results are based on average values of number of vehicles caught in congestion with respect to transmission range and vehicle density. © 2014 IEEE. IEEE Computer Society 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335942&doi=10.1109%2fICIAS.2014.6869475&partnerID=40&md5=50cd635ad9fbe3698bac959a59469264 Anjum, N. and Badruddin, N. and Drieberg, M. (2014) Simulation of traffic congestion detection using VANETs. In: UNSPECIFIED. http://eprints.utp.edu.my/32159/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description In this progressive world traffic congestion is a critical issue. It results in huge amount of time and resources loss. Vehicles in congestion is a valuable parameter for drivers to anticipate the state of congestion. The proposed approach is based on relating the relationship of different transmission ranges with vehicle density. This research work uses a GrooveNet simulator, which is based on real street maps and plays a major role in discovering and disseminating congestion information. Our simulation results are based on average values of number of vehicles caught in congestion with respect to transmission range and vehicle density. © 2014 IEEE.
format Conference or Workshop Item
author Anjum, N.
Badruddin, N.
Drieberg, M.
spellingShingle Anjum, N.
Badruddin, N.
Drieberg, M.
Simulation of traffic congestion detection using VANETs
author_facet Anjum, N.
Badruddin, N.
Drieberg, M.
author_sort Anjum, N.
title Simulation of traffic congestion detection using VANETs
title_short Simulation of traffic congestion detection using VANETs
title_full Simulation of traffic congestion detection using VANETs
title_fullStr Simulation of traffic congestion detection using VANETs
title_full_unstemmed Simulation of traffic congestion detection using VANETs
title_sort simulation of traffic congestion detection using vanets
publisher IEEE Computer Society
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335942&doi=10.1109%2fICIAS.2014.6869475&partnerID=40&md5=50cd635ad9fbe3698bac959a59469264
http://eprints.utp.edu.my/32159/
_version_ 1738657348385243136
score 13.211869

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