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Air traffic management is responsible for smooth air traffic. Although it is done by lot of computations with human interactions, the system will be at its best if there are reduced computations and less flight delay time. This system deals with an introduction of fuzzy rules at the point where they are conflict detection. So with the set of rules implying on the detection, resolution can be made on the basis of fuzzy rules. Ensuring the separation and other criteria in lieu with other aircrafts, the resolution is computed. The computations are reduced either by spatial separation or temporal separation. In the present system there is hardly any conflict detection or decision support. The conflict detection computes and derives with the resolution which reaches the ATC (Air traffic control). This paper describes how fuzzy ideas are used with the conflict detection and how the decision support is made with reduced calculations and improved air traffic flow with a reduced delay Index Terms: ATC, conflict detection, Optimization, AOC, Sensors, Smart Antenna

Improved Air Traffic Management through fuzzy approach on Conflict Detection and Resolution using Smart Antenna