Method of predicting with high accuracy a descent trajectory described by means of the aircraft intent description language (AIDL)

摘要

The invention proposes a new method to improve the accuracy of future predictions of arrival trajectories based on the use of historical flight recorded data of the traffic within a specific area approaching a designated airport. The invention is a method, which leverages the AIDL-based Trajectory Computation Infrastructure for improving the prediction capabilities of any Trajectory Predictor (TP) used for Arrival Management by means of a continuous learning process. This learning process determines what values of the selected parameters provide the most accurate trajectory predictions according to the aircraft type-airline-intended descent procedure-weather conditions combination.