Design and simulation of adaptive fuzzy control on the traffic network

In this paper, the adaptive fuzzy control method [1-4] is adopted to improve the traffic network. To deal with traffic during the rush hours, fuzzy controllers commonly switch signals more frequently according to certain circumstances, but it is not practical for real traffic control. In this paper, the adaptive control is concerned to satisfy real applications. The proposed controller adopts more simplified membership functions than those in Kaur and Konga (1994) [5] through analysis of the waiting length; moreover, the number of applied fuzzy rules is also reduced from 86 to 18. To verify the proposed controller through simulation, the parameter setting interface of the software system VISSIM [6] was used to simulate a real traffic intersection and VisVAP was used to achieve the adaptive signal control logic. Given traffic flows as Light (300Veh./hr), Heavy (1000Veh./hr), and Peak (0 similar to 1200Veh./hr), simulation results indicate that the delay time of the proposed approach is significantly reduced.