The Research of Flight Trajectory Based on Association Rule

Due to the large errors of traditional aerodynamic 4D trajectory prediction models, a prediction model based on concept tree, multi-layer spatial association rule mining flight track data was proposed. Firstly, the factors that had impact on total flying track were found out from flying history, and the flying track of next flight was predicted. Then from the flying position data, the positions where aircraft was located in each sampling period were worked out, and the whole prediction 4D trajectory was got. Simulation tests prove the accuracy and availability of this model.