A machine learning approach on past ADS-B data to predict planning controller’s actions

• Main Authors: Pham, Duc-Thinh, Alam, Sameer, Su, Yi-Lin, Duong, Vu N.
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Aeronautical engineering::Air navigation
• Online Access: https://hdl.handle.net/10356/146669
• Institution: Nanyang Technological University

En-route airspace is one of the most congested airspaces, as it is mainly used in the cruise phase of the flight. The en-route sector is usually managed by a team of two air traffic controllers: planning controller (D-side) and executive controller (R-side). The D-side controller is responsible for...