Traffic Congestion Controller: A Fuzzy Based Approach

Abstract

Transportation system in any urban area is a non linear system comprises of mixture of two wheeler, cars and heavy vehicles such as trucks, buses etc. Also, due to rise in count of vehicles traffic congestion being the very severe problem arises frequently in the real scenario. This problem not only affect people safety, excessive delays in travelling of an individual but also pose serious threats towards environment i.e. excess fuel consumption and emission of gases such as carbon dioxide (CO2), carbon monoxide (CO) etc. The traditional traffic light system with a fixed traffic signal cycle of constant phase of green/red/yellow lights is not sufficient enough to tackle the traffic congestion problem in an optimum way. Optimizations based on Fuzzy modeling is all about getting those values of input parameters which gives desired output in complex simulated system. Researchers have used different controlling parameters in their study. Therefore, a single parameter such as queue length is not sufficient enough to meet with dynamics of traffic flow. This paper proposes a fuzzy model for traffic congestion control at the intersections by adapting the timings of traffic lights according to the parameters like queue length and arrival rate of the vehicles. The average percentage performance observed of the proposed model is 18.8%.