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

• Main Authors: Lim, Zhi Jun, Alam, Sameer, Dhief, Imen, Schultz, Michael
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: 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
• Institution: Nanyang Technological University

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...