A Deep Learning Approach for Aircraft Trajectory Prediction in Terminal Airspace

A Deep Learning Approach for Aircraft Trajectory Prediction in Terminal Airspace

Current state-of-the-art trajectory methods do not perform well in the terminal airspace that surrounds an airport due to its complex airspace structure and the frequently changing flight postures of aircraft. Since an aircraft that takes off or lands in an airport must follow a specified procedure,...

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Bibliographic Details
Main Authors: Weili Zeng, Zhibin Quan, Ziyu Zhao, Chao Xie, Xiaobo Lu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Aircraft trajectory prediction
terminal airspace
trajectory reconstruction
regularization method
long short-term memory network
Online Access:https://ieeexplore.ieee.org/document/9166485/

Internet

https://ieeexplore.ieee.org/document/9166485/

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