A Novel Algorithm for Intelligent Traffic Light Control

Nowadays, increasing number of vehicles on the streets are causing congestion at the intersections and consequently resulting in disruptions in traffic flows. Overall responsibility for preventing congestion in intersections is on traffic light control systems. In order to provide an enhanced traffic light controlling system, we utilized VANET technology for accessing vehicles’ travelling data and consequently traffic flow information. Our dynamic cycle traffic light management proposal provides an intelligent and real-time mechanism to choose the trafic lanes that will be allowed to pass through the intersection and adjust the green light duration in each cycle according to the traffic situation. The traffic density and short-term future traffic density computing in each road are two important steps of our proposed scheme. The broadcasted vehicles travelling data by using V2R communication helps us to compute traffic density values. Also, weather condition and important sites in the roads that make roads crowded are other key parameters in our scheme. The proposed scheme for choosing traffic light cycle and adjusting traffic light is evaluated against the existing static and other intelligent systems using our developed simulation web application. We found that our introduced scheme has better performance than the other approaches by significantly reducing delay time and accordingly decreasing number of the stopped vehicles behind traffic lights. Keywords: Traffic light controlling, Intersection congestion, Vehicular ad-hoc Network, Intelligent traffic light, Vehicle to infrastructure broadcasting.