Multi-Route Aircraft Trajectory Prediction Using Temporal Fusion Transformers

Multi-Route Aircraft Trajectory Prediction Using Temporal Fusion Transformers

Trajectory prediction plays a key role in modern air traffic management. The ability to predict the future position of aircraft in flight allows for greater predictability, safety and efficiency. In recent years, recurrent neural networks, and particularly LSTM (Long-Short Term Memory), have been su...

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Bibliographic Details
Main Authors: Jorge Silvestre, Paula Mielgo, Anibal Bregon, Miguel A. Martinez-Prieto, Pedro C. Alvarez-Esteban
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
LSTM networks
temporal fusion transformer
air traffic management
trajectory prediction
Online Access:https://ieeexplore.ieee.org/document/10577632/
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https://ieeexplore.ieee.org/document/10577632/

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