Abstract
Road congestion has become one of the major problems of urban cities due to the growth in the number of vehicles and the limitation of road infrastructure. The consequences of this congestion can be seen through a difficult movement of vehicles, an increase in CO2 emissions, increasing energy consumption, and stress for drivers. Intelligent Transport Systems (ITS) based on wireless sensor networks (WSN) have emerged with new solutions and application potentials in the context of the Intelligent city. In this article, we study an approach of using a wireless sensor network to control the traffic lights of several intersections and optimize their performance by reducing the average waiting time of users. the proposed adaptive traffic light controller determines the traffic lights sequence in real time based on the current traffic situation at the local intersection, the expected arrivals and the degree of congestion at destination intersections. To evaluate our approach, we construct an intersection network of twenty-four intersections with high traffic intensity using the SUMO simulator, the results of the simulation demonstrate the efficiency and practicality of the proposed algorithm.
Highlights
The traffic control system allows managing traffic flows, improving the safety of vehicles and pedestrians on the roads, and facilitating the use of the road network
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
We have proposed an adaptive traffic light control approach for multiple intersections using a wireless sensor network
Summary
The traffic control system allows managing traffic flows, improving the safety of vehicles and pedestrians on the roads, and facilitating the use of the road network It is materialized through measurement and detection systems (video, radar, loop), traffic light-signaling equipment (traffic lights, sound devices), connection and coordination devices counting stations, panels with variable messages, and road sensors. Among these different means of action, traffic lights play an important role in ensuring safety by sharing over time the use of the same space between conflicting flows. In the sixth 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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