El Hamdani, S. and Benamar, N. (2017) A comprehensive study of intelligent transportation system architectures for road congestion avoidance. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10542. pp. 95-106.

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Abstract

Road congestion is considered as the bottleneck in Intelligent Transportation System (ITS). It has serious impact on human security, the environment and the economy. Thus, congestion avoidance is one of the main challenges facing ITS. In the aim of reducing the congestion problem, different ITS schemes were proposed. In this paper, we present a comprehensive study of the recent approaches dealing with the congestion issue. This study brings to the scientific community a new classification of the previous schemes based on their specific features. To this end, we introduce some new metrics to evaluate all the studied approaches. We found that the majority of the new congestion management approaches are cooperative and efficient in decreasing the travel delay. However, they are generally focusing on vehicles control and ignoring other elements, such as the use of the road in daily life. The current study presents a new direction of future researches on congestion management systems. © Springer International Publishing AG 2017.

Item Type: Article
Uncontrolled Keywords: Highway administration; Intelligent systems; Roads and streets; Traffic congestion; Transportation; Ubiquitous computing, Congestion avoidance; Congestion management; Congestion management systems; Congestion problem; Human securities; Intelligent transportation systems; Road congestion; Scientific community, Intelligent vehicle highway systems
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46
URI: http://eprints.umi.ac.ma/id/eprint/2538

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