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White Paper: Strategic Flight Route Prediction for Air Traffic ManagementUsing Transformers

Strategic planning in air traffic management (ATM) depends on anticipating how flights will traverse an airspace under evolving demands, procedures, and constraints. With air traffic growing globally, novel ATM strategies are increasingly essential to enhance efficiency, safety, and predictability. Aireon has developed a
transformer‑based sequence model designed to predict the Flight Information Region (FIR) trajectory an aircraft will take, and the associated departure and destination aerodrome (ADEP/ADES).

Aireon - Space-Based ADS-B Global Air Traffic Surveillance and Tracking
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