A Dynamic Traffic Lights Controlling Combined with Vehicle Routes Planning Solution for Alleviating Traffic Congestion

With the rapid development of the economy, the number of private cars is constantly increasing, and the limited road capacity combined with static time-controlled traffic lights leads to serious traffic congestion at intersections during peak hours. Traffic congestion has many adverse effects such as prolonged travel time, fuel waste, increased travel costs, air pollution and so on. In order to alleviate traffic congestion at intersections during peak hours, this paper proposes a solution that combines dynamic traffic light control with switching vehicle driving routes. Vehicle to Infrastructure (V2I) technology is used to allow the infrastructures to obtain real-time information about the traffic situation on the road. When the road is congested, the infrastructures send the congestion information to the behind vehicles , and allowing them to actively change their driving route, while controlling the traffic lights on non-congested roads, optimal the green light time and providing more passage time for congested roads. In this paper, the simulation is done on the SUMO traffic simulator. And the simulation results show that compared with Fuzzy Logic based traffic light control scheme, the proposed solution reduces the average travel time by about 15.7%, reduces the average waiting time by about 29.4% and reduces the average time loss by about 32.5%. Thus, the proposed solution can effectively alleviate the traffic congestion, reduce travel time and save fuel.