Sector entry flow prediction based on graph convolutional networks

• Main Authors: Ma, Chunyao, Alam, Sameer, Cai, Qing, Delahaye, Daniel
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: Engineering::Aeronautical engineering::Aviation; Air Traffic; Flow Prediction
• Online Access: https://hdl.handle.net/10356/160332; https://www.icrat.org/
• Institution: Nanyang Technological University

Improving short-term air traffic flow prediction can help forecast demand and maximize existing capacity by tactical air traffic flow management. Most existing studies in flow prediction lacks consideration of the dynamic, structural, and interrelated nature of air traffic flows in the airspace. The...