Different Fuzzy Logic Control Strategies for Traffic Signal Timing Control with State Inputs

Traffic density in big cities is an important factor that reduces the quality of human life. With the increasing population of metropolitans and the inability of their infrastructures to handle this density, the traffic density is gradually increasing. As a result, passengers lose time in more traffic and the amount of emissions and hence air pollution also increases. Traffic intersections are one of the most important places that directly affect traffic flow, as they are the intersection points of more than one road. The traffic light is an important solution to change the pass permission for vehicles and pedestrians. It is actually possible to have less traffic density with adaptive changes in lighting periods depending on changing traffic density situations at the intersections. In this paper, a traffic light system at a four-legged junction is controlled by a Fuzzy Logic Controller (FLC) with different input values which are queue length and state input. The recommended method is FLC with state input based on vehicle location. The Simulation of Urban Mobility (SUMO) is used to create and manage the simulation of this control system. Results are compared for the proposed types of Traffic Light Control Systems depend on waiting time and queue length.