State feedback control for intelligent traffic light systems

Traffic is an important factor affecting human life quality in crowded cities. Increasing population and increasing individual vehicle ownership lead to an increase in traffic density. This leads to an increase in the time lost for travelers and pollution. Intersections are areas that cause more traffic density because of design making hurdles. Traffic jam can be reduced by adapting the traffic light control that can be adapted to the traffic density change at the junctions. In this study, the State Feedback Controller is proposed for the traffic light system control at the four-leg intersection. Simulation of this control system is made and handled using Simulation of Urban Mobility (SUMO). Results are compared for the proposed types of Traffic Light Control Systems. It was observed that the State Feedback traffic light controller, which is the recommended method from the simulation results, gives better results than both the Fuzzy Logic Control (FLC) and the Fixed Time traffic light controller.