DESIGN AND IMPLEMENTATION OF FUZZY CONTROLLER FOR TRAFFIC SIGNALS TO OPTIMIZE TRAFFIC CONGESTION DELAYS

Abstract

Transportation research has the goal to optimize transportation flow of people and goods. As the number of road users constantly increases, and resources provided by current infrastructures are limited, intelligent control of traffic is now a very important issue. Therefore the need arises for simulating and optimizing traffic control algorithms to better accommodate this increasing demand. However, some limitations to the usage of intelligent traffic control exist. Avoiding traffic jams for example is thought to be beneficial to both environment and economy like a decrease in each of delay, number of stops, fuel consumption, pollutant emissions, noise, vehicle operating costs, queue length and personal time, but improved traffic-flow may also lead to an increase in demand Optimization of traffic light switching increases road capacity and traffic flow, and can prevent traffic congestions. As basically, the time period of traffic light depends on the load and number of vehicle on the road. Here main focus is on the two subsystems namely the sensor mechanism and the controller unit. The fuzzy controller will regularly query the traffic conditions in order to decide whether to extend or terminate a current phase. Here I am presenting a systematic Fuzzy based traffic signal controller for controlling the traffic light. The project work shows that traffic congestion delay can be considerably reduced by replacing the conventional traffic control system by fuzzy based traffic control system. Fuzzy traffic signal Controller can reduce the waiting time or congestion delays by significant amount of time.