A comprehensive study of intelligent transportation system architectures for road congestion avoidance

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.