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NEXT generation of Aircraft operatIons suppoRted by AI

Objectif

As Europe moves toward climate neutrality by 2050, the integration of hydrogen-powered, electric, and hybrid-electric aircraft presents new challenges for current Air Traffic Management (ATM) and airport systems. These aircraft exhibit distinct performance profiles, requiring adaptive tools and metrics to ensure safe, efficient, and sustainable operations. NEXTAIR proposes an AI-driven optimization framework, centred on evolutionary algorithms, to address these emerging complexities. The project focuses on dynamically modelling operational impacts such as taxiing, refuelling, boarding time, and noise emissions through the generation of tailored Key Performance Indicators (KPIs) for next-generation aircraft.
To compensate for the current lack of real-world data, NEXTAIR will employ synthetic data generation techniques supported by reference datasets such as BADA, enabling robust AI model training, simulation, and validation.
The project is fully aligned with the recommendations of the Alliance for Zero-Emission Aviation (AZEA) , supporting European policy goals by promoting a data-driven, safety-conscious, and environmentally sound integration of future aircraft into the aviation ecosystem.

Champ scientifique (EuroSciVoc)

Mots‑clés

Programme(s)

Thème(s)

Régime de financement

HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions

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Appel à propositions

(s’ouvre dans une nouvelle fenêtre) HORIZON-SESAR-2025-DES-ER-03

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Coordinateur

NEXTANT APPLICATIONS & INNOVATIVE SOLUTION SRL
Contribution nette de l'UE
€ 214 387,50
Adresse
VIA ANDREA NOALE 345A
00155 ROMA
Italie
PME
Oui
Région
Centro (IT) Lazio Roma
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Liens
Coût total
Aucune donnée

Participants (8)