Hybrid Machine Learning and Estimation-Based Flight Trajectory Prediction in Terminal Airspace

Hybrid Machine Learning and Estimation-Based Flight Trajectory Prediction in Terminal Airspace

For air traffic management, trajectory prediction plays an important role as the predicted trajectory information is used in crucial tasks for the safety and efficiency of air traffic operations, such as conflict detection and resolution, scheduling, and sequencing. In this paper, we propose a frame...

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Bibliographic Details
Main Authors: Hong-Cheol Choi, Chuhao Deng, Inseok Hwang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Aircraft trajectory prediction
terminal airspace
machine learning
Gaussian mixture model
long short-term memory network
residual-mean interacting multiple models
Online Access:https://ieeexplore.ieee.org/document/9605684/

Internet

https://ieeexplore.ieee.org/document/9605684/

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