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Introduction: Fuzzy logic has long been utilized in computer science research, and it still is. It was employed for a variety of purposes, including military, medical, and industrial uses. When changes occur in the external environment, the system may be compared to its prior state and automatically respond. There was a difference established between Fuzzy logic and the reasoning of individuals in the computer industry.

Aim of the study: The main aim of the study is to Analytical Study on the Fuzzy Logic to Control Traffic.

Material and method: We propose a fuzzy We utilise the difference in queue lengths at the green and red light lanes, as well as the difference in arrival rates at those lanes, to make judgments about the traffic conditions in all lanes of the junction, and we use the difference in arrival rates at those lanes to do the comparison.

Conclusion: It is concluded that When it comes to traffic congestion, the fuzzy logic-based traffic management system was created to help address the problem. In addition, the proposed model has the capacity of monitoring pedestrian crossings and facilitating the movement of emergency vehicles in crucial circumstances.