Fusion of engineering insights and emerging trends: Intelligent urban traffic management system

Abstract

Traffic congestion is a great concern, especially in urban areas where the vehicles’ number on roads continues to intensify significantly against the slow development of road infrastructure. To resolve this intractable problem, researchers proposed various Traffic Management Systems that rely on the fusion of traffic data sources and emerging technologies to maximize the traffic flow, and thus fluidify the intersections since they are the origin of traffic congestions, and also reroute the vehicles to avoid traffic congestions areas, and thus reduce fuel consumption and air pollution. Although there are many studies on traffic management, there is still a lack of research covering the entire urban road traffic management system. Therefore, this study intends to fill the gap, generating new insight into the state of research related to the entire Traffic Management System. The principal aim of this survey is to provide a complete view of current approaches proposed in the literature to handle the traffic congestion problem. We first supply a review of the body of knowledge in recent years of Traffic Management Systems. Second, we summarize the benefits and drawbacks of the recent literature. Third, we analyze and discuss the three main subsystems of a Traffic Management System and then classify the various contributions according to the subsystem to which they belong. Finally, we present and discuss future research orientations and open issues that need further investigation for a realistic and efficient Traffic Management System.