Prediction of Aircraft Landing Stage Trajectory Based on ANN-LSTM Model
HE Xin
WANG Jingyi
LI Yingzhe
ZHAO Rui
Abstract：Predicting the trajectories of aircraft in various operational stages is a key technology for planning flight paths and maintaining aircraft operational safety.It is of great significance in ensuring the safe and efficient operation of aircraft.The period from 50 feet above the runway threshold to the departure of the aircraft from the runway belongs to the high-speed operation phase.Predicting its landing trajectory can predict its departure position from the runway,assist controllers in path planning for ground taxi-ing aircraft,and thus reducing operational conflicts between aircraft.This article combines LSTM with ANN to construct a predictive model for aircraft landing trajectory.After comparing the prediction results with similar prediction algorithms,it is found that the ANN-LSTM model has higher prediction accuracy and can achieve better prediction of aircraft landing trajectory.
Keywords：deep learningtrack predictionANN-LSTMQAR data
Publication Date：2024-12-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 61-64,105 )