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A precise and accurate trajectory prediction is indispensable for efficient air traffic management with a large traffic throughput achieved by four-dimensional trajectory prediction. Recent aircraft a...re able to fly along their optimum trajectories. The configurations of these optimum trajectories also depend on aircraft mass. However, information on aircraft mass are generally unavailable for air traffic controllers; they are seldom applied for actual operations. To overcome such inconvenience, recent studies demonstrated aircraft mass estimation from their flight trajectories. This study further aims at applying the mass estimation for the prediction of cruise flight time. Aircraft mass are estimated from actual climb trajectory data, and the correlation between the estimated mass and flight time error are confirmed. The regression and correction has revealed that the presented methodology is able to reduce the mean square error of the flight time prediction by half.続きを見る
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