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In urban areas, the problem of congestion in road traffic presents itself as a very persistent problem which requires solutions. During a traffic jam, several resources are wasted, such as time, fuel and many other resources. Through the VANET networks, we can circulate useful information on the state of the traffic in order to guarantee fluidity and an easy circulation. The vehicle-to-vehicle (V2V) communication is a way of transmitting this information in a VANET network. In this paper, we present an approach to detect the state of road traffic in urban areas based on the Big Data tools.
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Badreddine Cherkaoui
Conservatoire National des Arts et Métiers
Abderrahim Beni‐Hssane
Chouaib Doukkali University
Mohamed El Fissaoui
Mohamed I University
Procedia Computer Science
Chouaib Doukkali University
Université Sultan Moulay Slimane
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Cherkaoui et al. (Tue,) studied this question.
synapsesocial.com/papers/6a1bdc38d54006be995f1fc3 — DOI: https://doi.org/10.1016/j.procs.2019.04.165
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