Description du projet
Renforcer la compétitivité et la durabilité de l’aviation européenne
Imaginez un avenir où votre expérience aéroportuaire combine de manière homogène des véhicules autonomes partagés et des drones avec les services aéroportuaires traditionnels. Le projet MAIA, financé par l’UE, vise à développer un ensemble d’outils d’analyse de données et de modélisation pour soutenir la conception et la mise en œuvre, fondées sur des données probantes, de solutions multimodales d’accès aux aéroports basées sur les véhicules autonomes et la mobilité aérienne urbaine. Les outils MAIA surveilleront et prévoiront activement les changements de comportement des passagers résultant de ces nouvelles options de mobilité et optimiseront le fonctionnement de ces services à la fois dans des conditions nominales et en cas de perturbations multimodales. Cette innovation permettra aux acteurs de l’aviation de prendre des décisions fondées sur des données probantes, d’améliorer l’accessibilité des aéroports et de favoriser la durabilité du secteur européen de l’aviation.
Objectif
MAIA’s vision is that, within 5-10 years, CCAM and UAM based services will be available in an integrated manner with the airport infrastructure and the remaining access modes. AI tools and digital twins will be used for anticipating the impacts of different service configurations on the performance of airports as multimodal hubs. Aviation stakeholders will be able to make evidence-based decisions on how to implement, operate and regulate novel services in a way they improve passenger experience, increase capacity and help reach sustainability goals. The goal of MAIA is to develop a set of data analytics and modelling tools to support the evidence-based design and implementation of multimodal airport access solutions based on two passenger mobility innovations: shared autonomous vehicle fleets and unmanned aerial vehicle fleets. MAIA tools will monitor and anticipate passenger behaviour changes due to these new options, optimise vehicle dispatching under multimodal disruptions and recommend appropriate locations for vertiports, with the aim of maximising the contribution of these mobility innovations to the competitiveness and sustainability of the European aviation sector. The specific objectives of MAIA are (i) identify the opportunities and risks associated with passenger mobility innovations in a multimodal airport access context; (ii) develop MAIA-Engine, a toolset for a passenger-centric design and implementation of innovative multimodal airport access services, which includes new methods and tools for predicting passenger behaviour; (iii) develop MAIA-CCAM, a vehicle dispatching tool to support the operation of Shared Autonomous Vehicle (SAV) fleets in the airport access, able to mitigate multimodal disruption impacts; (iv) develop MAIA-UAM, a vertiport site selection framework to support the implementation of Unmanned Aerial Vehicles (UAV) services in the airport access, able to balance passenger experience, capacity and environmental sustainability.
Champ scientifique
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicles
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- engineering and technologycivil engineeringtransportation engineeringairport engineering
Mots‑clés
Programme(s)
- HORIZON.2.5 - Climate, Energy and Mobility Main Programme
Régime de financement
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinateur
28020 Madrid
Espagne
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.