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

• Main Authors: Dhief, Imen, Wang, Zhengyi, Liang, Man, Alam, Sameer, Schultz, Michael, Delahaye, Daniel
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Aeronautical engineering; Terminal Maneuvering Area; Trajectory Prediction
• Online Access: https://hdl.handle.net/10356/148216
• Institution: Nanyang Technological University

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...