A Simulation Environment for Fuzzy Control of Traffic Systems

Abstract In this paper fuzzy control and decision making are used to simulate the control of traffic flow at an intersection. Fuzzy logic can be used as an alternative method for control of traffic environments. A traffic environment includes the lanes to and from an intersection, the intersection, vehicle traffic, and signal lights in the intersection. To test the fuzzy logic controller a computer simulation is constructed to model a traffic environment. A typical cross intersection was chosen for the traffic environment and the performance of the fuzzy logic controller was compared with the performance of two different types of conventional control. The fuzzy logic controller proved to be a better method of control than conventional control methods, especially in the case of highly uneven traffic flow between different directions