A Method of Predicting 4D Trajectory Based on Spatiotemporal Perception Transformer Approach Control Zone
HUO Dan
XIA Fuhao
Abstract：To enhance the level of air traffic services within approach control areas and ensure aircraft flight safety,this paper proposes a 4D trajectory prediction method based on a Spatial-Temporal Aware Trans-former model.The method is to construct a 4D trajectory time-series prediction model,realizing high-pre-cision multi-step trajectory forecasting through transforming aircraft trajectory prediction into a time-series forecasting problem,extracting spatial-temporal features from historical flight trajectories as model inputs in comprehensive consideration of departure airport,aircraft type,wake vortex category,landing runway,and aircraft attitude,and adopting Gated Recurrent Units(GRUs)to capture temporal dependencies with-in trajectory data,while a combined Temporal Convolutional Network-Gated Recurrent Unit(TCN-GRU)architecture extracts spatial features.The experimental results demonstrate that this model is prior to the traditional Transformer model.With the increase of prediction steps,the root-mean-square error of predic-tion accuracy is reduced to 20.1％,and the mean absolute error is reduced to 27.82％ by this model.These findings hold significant implications for improving the efficiency and safety of air traffic manage-ment.
Keywords：air traffic management4D track predictiontime series predictiontransformer modeldeep learning
Publication Date：2025-12-25
Online Publishing Date：2025-12-26(First online date of this platform, not the publication date of the document)
Pages：11( 1-11 )