- Project ID ISOBAR
- Project duration 2020-06-01 > 2022-11-30
- Total EUR 2 609 230
- EU Contr. EUR 1 908 797,50
- Status Ongoing
ISOBAR aims at the provision of a service- and AI-based Network Operations Plan, by integrating enhanced convective weather forecasts for predicting imbalances between capacity and demand and exploiting AI to select mitigation measures at local and network level in a collaborative ATFCM operations paradigm. To achieve this vision, four objectives are set:
a) Reinforce collaborative ATFCM processes at pre-tactical and tactical levels into the LTM (local) and Network Management (network) roles integrating dynamic weather cells.
b) Characterisation of demand and capacity imbalances at pre-tactical level [-1D, -30min] depending on the input of probabilistic weather cells by using applied AI methods and ATM and weather data integration.
c) User-driven mitigation plan considering AUs priorities (and fluctuations in demand based on weather forecasts) and predicted effectiveness of ATFCM regulations, considering flow constraints and network effects.
d) Develop an operational and technical roadmap for the integration of ancillary services (providing AI-based hotspot detection and adaptative mitigation measures) into the NM platform, by defining interfaces, functional and performance requirements.
Centro de Referencia de Investigación, Desarrollo e Innovación ATM (Coordinator)
Universidad Carlos III de Madrid
École nationale de l'aviation civile
Direction des services de la Navigation aérienne
Agencia Estatal de Meteorología
Sopra Steria Group
Swiss International Air Lines
This project has received funding from the SESAR Joint Undertaking under the European Union's Horizon 2020 research and innovation programme under grant agreement No 891965