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

• المؤلفون الرئيسيون: Dhief, Imen, Wang, Zhengyi, Liang, Man, Alam, Sameer, Schultz, Michael, Delahaye, Daniel
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Aeronautical engineering; Terminal Maneuvering Area; Trajectory Prediction
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/148216
• المؤسسة: 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...