Use of Fuzzy Logic in Traffic Congestion Management

This paper proposes fuzzy logic-based Traffic Congestion Management using traffic signal control. The results show that the fuzzy controller is more efficient than the fixed time traffic signal by webster method. The cycle time calculated through the fuzzy controller is more efficient than the fixed time traffic signal by webster method. The performance of fuzzy controller highly depends on the fuzzy rule base so it is important to tune the fuzzy rules correctly. After performing the experiments on different input data set, we get the better performance of fuzzy logic-based Traffic Congestion Management using traffic signal control than the fixed time traffic signal control by webster method. In the proposed work an ch. Shivaji Maharaj Chowk, Vita intersec­tion is considered.

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