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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Autores principales: Hong-Cheol Choi, Chuhao Deng, Inseok Hwang
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Aircraft trajectory prediction
terminal airspace
machine learning
Gaussian mixture model
long short-term memory network
residual-mean interacting multiple models
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/655ed8e18f544876a4bc4fe38b9b90ff
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https://doaj.org/article/655ed8e18f544876a4bc4fe38b9b90ff

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