Preventing urban traffic congestion using VANET technology in urban area

Urban mobility is one of the most important factors in the development of any nation and can act as a strong stimulant for economic expansion. Moreover, the rapid urban population growth in recent years has resulted in a substantial rise in the number of urban vehicles. But, the infrastructure on ur...

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Main Authors: Toulni Hamza, Miyara Mounia, Filali Youssef, Koumétio Tékouabou Stéphane Cédric
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/55/e3sconf_acc2023_02005.pdf
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author Toulni Hamza
Miyara Mounia
Filali Youssef
Koumétio Tékouabou Stéphane Cédric
author_facet Toulni Hamza
Miyara Mounia
Filali Youssef
Koumétio Tékouabou Stéphane Cédric
author_sort Toulni Hamza
collection DOAJ
description Urban mobility is one of the most important factors in the development of any nation and can act as a strong stimulant for economic expansion. Moreover, the rapid urban population growth in recent years has resulted in a substantial rise in the number of urban vehicles. But, the infrastructure on urban routes frequently isn’t adequate for a big number of urban vehicles. This inadequacy leads to several problems, including road insecurity, time loss and pollution. Congestion is one of the biggest issues and a significant hindrance to the road transportation system. In order to maximize the efficiency of the existing road network infrastructure, one idea is to leverage modern communication technologies to transmit traffic data, including the locations of accidents and risky road conditions. As a result, the congestion prevention system (CPS) presented in this study can assist drivers in improving their travel. CPS would be the best option for cutting down on travel time and fuel usage, avoiding traffic jams and lines, and ensuring that the current road infrastructure is used more effectively. The CPS is based on a methodology that examines accurate and valuable real-time traffic data. Experimental results for reducing urban traffic congestion have been highly encouraging according to the simulation of the system under various scenarios. We intend to include artificial intelligence in our system in future studies to improve it.
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spelling doaj.art-324fcf5702bf459e95b557f50b266c532023-08-21T09:02:53ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014180200510.1051/e3sconf/202341802005e3sconf_acc2023_02005Preventing urban traffic congestion using VANET technology in urban areaToulni Hamza0Miyara Mounia1Filali Youssef2Koumétio Tékouabou Stéphane Cédric3LISTD Laboratory, Department of Computer Sciences, Mines School of RabatLIS Laboratory, Faculty of Sciences Aïn Chock, Hassan II University of CasablancaEIGSI, 282 Route of the Oasis, MâarifCenter of Urban Systems (CUS), Mohammed VI Polytechnic University (UM6P), Hay Moulay RachidUrban mobility is one of the most important factors in the development of any nation and can act as a strong stimulant for economic expansion. Moreover, the rapid urban population growth in recent years has resulted in a substantial rise in the number of urban vehicles. But, the infrastructure on urban routes frequently isn’t adequate for a big number of urban vehicles. This inadequacy leads to several problems, including road insecurity, time loss and pollution. Congestion is one of the biggest issues and a significant hindrance to the road transportation system. In order to maximize the efficiency of the existing road network infrastructure, one idea is to leverage modern communication technologies to transmit traffic data, including the locations of accidents and risky road conditions. As a result, the congestion prevention system (CPS) presented in this study can assist drivers in improving their travel. CPS would be the best option for cutting down on travel time and fuel usage, avoiding traffic jams and lines, and ensuring that the current road infrastructure is used more effectively. The CPS is based on a methodology that examines accurate and valuable real-time traffic data. Experimental results for reducing urban traffic congestion have been highly encouraging according to the simulation of the system under various scenarios. We intend to include artificial intelligence in our system in future studies to improve it.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/55/e3sconf_acc2023_02005.pdf
spellingShingle Toulni Hamza
Miyara Mounia
Filali Youssef
Koumétio Tékouabou Stéphane Cédric
Preventing urban traffic congestion using VANET technology in urban area
E3S Web of Conferences
title Preventing urban traffic congestion using VANET technology in urban area
title_full Preventing urban traffic congestion using VANET technology in urban area
title_fullStr Preventing urban traffic congestion using VANET technology in urban area
title_full_unstemmed Preventing urban traffic congestion using VANET technology in urban area
title_short Preventing urban traffic congestion using VANET technology in urban area
title_sort preventing urban traffic congestion using vanet technology in urban area
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/55/e3sconf_acc2023_02005.pdf
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AT koumetiotekouaboustephanecedric preventingurbantrafficcongestionusingvanettechnologyinurbanarea