Airfusion: a machine learning framework for balancing air traffic demand and airspace capacity through dynamic airspace sectorization

• Main Authors: Zhou, Wei, Pham, Duc-Thinh, Alam, Sameer
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Engineering; Air Traffic Control; Machine Learning Framework
• Online Access: https://hdl.handle.net/10356/171345; https://2023.ieee-itsc.org/
• Institution: Nanyang Technological University

Balancing air traffic demand and airspace capacity is a key challenge in airspace management. This task requires situational awareness among air traffic controllers, necessitating the use of interpretable traffic forecasts and visual tools to facilitate well-informed decision-making processes. Th...