Traffic Signal Timings Optimization Using Fuzzy Logic Controller

In our day to day life, increasing the number of vehicles like motorcycle, car, bus, van and truck etc. very rapidly. As a result outcome of traffic blocking and enormous problems in metro cities. Due to traffic jamming problem some large issues are found such as pollution, wastage of time, fuel, and accidents. Traffic jamming arises terribly often time switch in the contemporary world that has an effect on the means of life and introduces such a large amount of issues and challenge. To resolve this problem by using traffic signal timing optimization is the better solution. In this research work proposed a fuzzy logic controller for multiple intersection model. The issues in traffic trade are mostly characterize by the worldwide, uncertain and unsure parameters. Such kind of parameters fuzzy logic technique is suitable advance for traffic control problem. A fuzzy logic traffic control simulation model is developed and tested using MATLAB software. The Performance of fuzzy logic based on traffic signal timing optimization compared with fixed time controller rising the research field. The performance of Fuzzy Logic Controller is found to be similar to that of the fixed controller in normal traffic conditions. However, in heavy traffic conditions, Fuzzy Logic Controller results shows 30% decrease on average delay of cars waiting at the intersection and 10% improvement on total number of cars served at the intersection over the same simulation period compared to the fixed time controller. The results show that there is a huge improvement that can be realized by using Fuzzy Logic Controller in controlling traffic flow at multiple intersections. Fuzzy logic is very useful method for transportation in future use. Keywords– Fuzzy traffic controller, signal timing optimization, traffic simulation, fixed time controller.