Survey Control Traffic Light with Fuzzy Logic

Vehicular travel is increasing throughout the world, particularly in large urban areas. With the increasing use of automobiles in cities traffic congestion occurred. So there is requirement for optimizing traffic control methods to better accommodate this increasing demand. So as the transportation system will continue to grow, intelligent traffic controls have to be employed to face road traffic congestion problems. Fuzzy controllers have been widely used in many consumer products and industrial applications with success over the past two decades. For traffic control, however, fuzzy controllers have not been widely applied. This paper proposes a fuzzy traffic lights controller to be used at a complex traffic junction. The real time parameters such as traffic density and queue length are obtained by using image processing techniques. So the on and off timings for the green, red and orange lights are adjusted as per the actual road conditions. Fuzzy logic has been widely used to develop a traffic signal controller because it allows qualitative modeling of complex systems. This paper describes a fuzzy logic signal controller for a four–way intersection suitable for mixed traffic, including a high proportion of motorcycles. This paper discusses the traffic control strategy, which dictates the design criteria for the fuzzy logic controller. The components of fuzzy logic controller-the fuzzier, the fuzzy rule base formulated by human experts, the fuzzy inference engine and the DE fuzzier.