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Title	Traffic Control, Congestion Management And Smart Parking Through Vanet, Ml, And Iot: A Review
ID_Doc	58554
Authors	Ouhmidou H.; Nabou A.; Ikidid A.; Bouassaba W.; Ouzzif M.; El Kiram M.A.
Year	2023
Published	Proceedings - 10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023
DOI	http://dx.doi.org/10.1109/WINCOM59760.2023.10322908
Abstract	As the quantity of cars increases on the road, so does the focus on improving road safety and in-vehicle entertainment. In response to this need, the creation of new in-car applications and services is on the rise. Common applications include collision avoidance, safety and traffic monitoring, multimedia streaming, and smart city data collection using wireless sensor networks. The Internet of Things (IOT) is a recent innovation that is accelerating the universe towards automated procedures and intelligent transportation management solutions. This is an important contribution to automation and intelligent civilization. Another way to improve the transport system is through the machine learning (ML). an Existing traffic management solution face a number of problems, resulting in traffic congestion, delays and high fatality rates. In addition, vehicular ad hoc network (VANET) has emerged as a new technology capable of supporting such emerging vehicular applications. This paper presents a comprehensive review of the latest state of the traffic control, traffic management and parking and smart city strategy of the vehicle by using VANET, ML and Internet of Things technology. © 2023 IEEE.
Author Keywords	intelligent traffic management; IOT; Machine Learning (ML); parking and smart city; VANET

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