In short

PROJECT ID

ISOBAR

PROJECT DURATION

2020-06-01 > 2022-11-30

TOTAL COST

EUR 2 609 230

EU CONTR.

EUR 1 908 797,50

STATUS

Ongoing

Objectives

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.

Participants

Centro de Referencia de Investigación, Desarrollo e Innovación ATM (Coordinator)

Universidad Carlos III de Madrid

Cranfield University

École nationale de l'aviation civile

EUROCONTROL

Direction des services de la Navigation aérienne

Agencia Estatal de Meteorología

Météo France

Sopra Steria Group

Earth Networks

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

European Union