Abstract
In this paper, we detail and evaluate a coordinated approach to determining the sequence and duration of green lights at several intersections as part of the Intelligent Transportation System. We present the architecture of a wireless network used to track variations in adjacent intersections. Our algorithm exploits the collected data to determine the sequence of the green lights based on three objectives: (i) reduce the length of queues in the intersection, (ii) prioritize sending vehicle flows to intersections with lower traffic density than the most congested, (iii) synchronize traffic signals between adjacent intersections to create green waves. Traffic simulations have been simulated by the SUMO traffic simulator, they show that our solution manages to react to traffic change and reduce waiting time compared to isolated control strategies.
Highlights
We are interested in the management of traffic lights in an urban road network to reduce congestion and decelerations
Detectors count the number of vehicles in each lane of an intersection. These devices enable the dynamic management of traffic light plans, using so-called adaptive methods that react to traffic conditions
While in the fourth one, we propose a wireless sensor network topology for traffic monitoring that ensures the availability of traffic status for a network of road intersections
Summary
We are interested in the management of traffic lights in an urban road network to reduce congestion and decelerations. The current architectures of these systems are generally organized around a traffic light controller who can make a local decision or communicate his information to a control center capable of transmitting a policy in return. This operating mode is that of many operated sensor networks. While in the fourth one, we propose a wireless sensor network topology for traffic monitoring that ensures the availability of traffic status for a network of road intersections Both the fifth and sixth sections present our coordinated traffic light control algorithm to determine the sequence of phases and the time of green light according to the traffic on the intersections network. In the seventh section, we evaluate the proposed method via the SUMO simulator, and we demonstrate its effectiveness by comparing the results to other approaches
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