Predicting aircraft landing time in extended-TMA using machine learning methods

Predicting aircraft landing time in extended-TMA using machine learning methods

Accurate prediction of aircraft arrival times is one of the fundamental elements for air traffic controllers to manage an optimal arrival and departure sequencing on the runway, reduce flight delays, and achieve a good collaboration with airports and airlines. In this work, we analyze the feature en...

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Bibliographic Details
Main Authors: Dhief, Imen, Wang, Zhengyi, Liang, Man, Alam, Sameer, Schultz, Michael, Delahaye, Daniel
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference Paper
Language:English
Published: 2021
Subjects:
Engineering::Aeronautical engineering
Terminal Maneuvering Area
Trajectory Prediction
Online Access:https://hdl.handle.net/10356/148216

Internet

https://hdl.handle.net/10356/148216

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