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:	EN
Published:	IEEE 2021
Subjects:	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
Online Access:	https://doaj.org/article/655ed8e18f544876a4bc4fe38b9b90ff
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Hybrid Machine Learning and Estimation-Based Flight Trajectory Prediction in Terminal Airspace

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