ENAIRE grants its innovation award to a project proposing an AI-powered flow management model for adverse weather situations
ENAIRE reaffirms its commitment to innovation and the development of new ideas with its internal Innovation Award. Now in its seventh edition, the winning project is the ‘Model for predicting operational degradation in adverse weather’, submitted by Adrián Utande Piorno and Francisco Manuel Tortosa López from the Operations Directorate, and Karina Martínez Pérez from the Systems Directorate.
The proposal focuses on developing a tactical assistant for traffic-flow and weather management that relies on advanced artificial-intelligence techniques. Its aim is to anticipate the expected impact on available airspace capacity during adverse convective-weather situations and to recommend optimal network-level traffic-management measures, taking into account traffic-demand distribution and knock-on effects on the rest of the airspace and airports.
