Flight Trajectory Prediction of General Aviation Aircraft Based on LSTM Model

Abstract

The rapid development of general aviation leads to many problems in air traffic management. The efficient and accurate flight trajectory prediction is the key technology to improve the safety and management efficiency of general aviation flight. Aiming at the problem that the communication signal of general aviation flying at low altitude is affected by factors such as mountains and buildings, this paper proposes a short-term flight trajectory prediction method based on log short term memory (LSTM) by adding the characteristics of displacement at adjacent moments on the basis of real-time flight trajectory data of general aviation aircraft. The results show that the flight trajectory prediction model based on LSTM has a high accuracy (81.65%). The predicted flight trajectory is consistent with the actual flight trajectory and the latitude and longitude positions are close. This method meets the requirements of real-time flight trajectory of general aviation aircraft.