Robust airspace design methods for uncertain traffic and weather

• A robust airspace optimization framework was devised to account for uncertainties related to wx prediction and TFM actions • Existing MIP and GeoSect Sectorization methods where extended to take as input traffic ensembles and generate sectors that are feasible and close to optimal for all possible outcomes in flight trajectories • Performed a full-scale DAC-TFM experiment by identifying appropriate scenarios, performing diagnostic of weather, generating weather and traffic ensembles, and computing R-MIP and R-GeoSect sectors. • Delay metrics were computed using ACES for baseline and optimized sectors • Significant delay reduction was observed across different ensembles