Air traffic flow prediction using transformer neural networks for flow-centric airspace

• المؤلفون الرئيسيون: Ma, Chunyao, Alam, Sameer, Cai, Qing, Delahaye, Daniel
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Aeronautical engineering; Engineering::Computer science and engineering; Airports
• الوصول للمادة أونلاين: https://www.sesarju.eu/sesarinnovationdays; https://hdl.handle.net/10356/164437

The air traffic control paradigm is shifting from sector-based operations to cross-border flow-centric approaches to overcome sectors’ geographical limits. Under the flow-centric paradigm, prediction of the traffic flow at major flow intersections, defined as flow coordination points in this paper,...