Applied metamodelling for ATM performance simulations

no code implementations • 7 Aug 2023 • Christoffer Riis, Francisco N. Antunes, Tatjana Bolić, Gérald Gurtner, Andrew Cook, Carlos Lima Azevedo, Francisco Câmara Pereira

Lastly, we discuss two practical approaches for reducing the computational burden of the metamodelling further: we introduce a stopping criterion for active learning based on the inherent uncertainty of the metamodel, and we show how the simulations used for the metamodel can be reused across key performance indicators, thus decreasing the overall number of simulations needed.

Active Learning Decision Making +1

NOSTROMO: Lessons learned, conclusions and way forward

no code implementations • 29 Mar 2023 • Mayte Cano, Andrés Perillo, Juan Antonio López, Faustino Tello, Javier Poveda, Francisco Câmara, Francisco Antunes, Christoffer Riis, Ian Crook, Abderrazak Tibichte, Sandrine Molton, David Mocholí, Ricardo Herranz, Gérald Gurtner, Tatjana Bolić, Andrew Cook, Jovana Kuljanin, Xavier Prats

This White Paper sets out to explain the value that metamodelling can bring to air traffic management (ATM) research.

Management

Estimating economic severity of Air Traffic Flow Management regulations

no code implementations • 21 Dec 2021 • Luis Delgado, Gérald Gurtner, Tatjana Bolić, Lorenzo Castelli

With that in mind, we define the indicator for the economic risk of network elements (e. g., sectors or airports) as the expected costs that the elements impose on airspace users due to Air Traffic Flow Management (ATFM) regulations.

Decision Making Management