Towards a greener Extended-Arrival Manager in air traffic control: a heuristic approach for dynamic speed control using machine-learned delay prediction model

Towards a greener Extended-Arrival Manager in air traffic control: a heuristic approach for dynamic speed control using machine-learned delay prediction model

Extended Arrivals Manager (E-AMAN) is a concept that reduces congestion and holding time in the Terminal Maneuver Airspace (TMA) by managing the arrival aircraft during the en-route phase. However, current E-AMAN deployment is only limited to a horizon of 150 - 200NM from the airport, restricting th...

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Bibliographic Details
Main Authors: Lim, Zhi Jun, Alam, Sameer, Dhief, Imen, Schultz, Michael
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Aeronautical engineering::Aviation
Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Air Traffic Control
Machine Learning
Speed Control
Extended Arrival Management
Online Access:https://hdl.handle.net/10356/160175

Internet

https://hdl.handle.net/10356/160175

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