Overview of Road Traffic Management Solutions based on IoT and AI

Обзор решений для управления дорожным движением на основе Интернета вещей и искусственного интеллекта
Asma Ait Ouallane, Ayoub Bahnasse, Assia Bakali, Mohamed Talea
2022-01-01

Internet of Things (IoT)adaptive traffic managementartificial intelligence (AI)road traffic managementtraffic congestion
In recent decades the number of vehicles on the world’s roads has continued to increase. However, road capacity does not develop at the same rate, which generates a considerably increased congestion rate. To minimize this difficult problem, the researchers opted for intelligent and efficient use of existing infrastructure through adaptive traffic management. The various recent proposed approaches have been based on new technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data. In this paper a global vision on various road traffic management solutions proposed in the literature is introduced, a classification and an evaluation of these road traffic management solutions are proposed. In particular, we start by presenting routing mechanisms, then solutions that are based on the use of traffic lights, then approaches that aim to manage network traffic. We discuss these solutions thereafter. Finally, we present new directions for future research on urban road traffic management.
1
Increasing vehicle numbers outpace road-capacity growth, making congestion mitigation a central traffic-management challenge.
2
Recent adaptive traffic-management solutions increasingly use Artificial Intelligence, Internet of Things, and Big Data to improve utilization of existing infrastructure.
3
The paper provides a global review and classification of road-traffic management solutions, covering routing, traffic-light control, and network-traffic management.
4
The review evaluates and discusses these solution categories and identifies future research directions for urban road-traffic management.

urban road traffic management solutions based on IoT and AI

classification and evaluation of routing, traffic-light control, and network-traffic management approaches for reducing road congestion

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Publication Date
2022-01-01
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Authors
Asma Ait Ouallane
Ayoub Bahnasse
Assia Bakali
Mohamed Talea
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