REFMAP | Reducing Environmental Footprint through transformative Multi-scale Aviation Planning

Summary
"The mission of RefMap is to develop a digital service aimed at quantifying the environmental footprints of air mobility for airliners and unmanned aircraft systems (UAS) at a ""multi-scale"" level, where single-trajectories (micro) and the flow traffic of multiple vehicles (macro) are optimised to minimise their environmental impact in a wide range of communities. RefMap investigates how the aviation business models will be affected by the availability of environmental data for each type and route of air vehicle, as this will enable stricter evidence-based Green policy making in the sector. This will be achieved via the development of the RefMap analytics platform processing environmental and weather data such as wind, noise, CO2 and non-CO2 emissions for both U-space and ATM. This platform will rely on a number of technical solutions, including numerical simulation, predictive models, and deep-learning methods. The latter will be used to construct accurate non-intrusive prediction frameworks and to optimize the trajectories of the various vehicles given the predicted flow conditions via deep reinforcement learning (DRL). These will enable the development of a new aviation business models aligned with EU’s Green Agenda."
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101096698
Start date: 01-02-2023
End date: 31-01-2026
Total budget - Public funding: 4 034 527,00 Euro - 4 034 527,00 Euro
Cordis data

Original description

"The mission of RefMap is to develop a digital service aimed at quantifying the environmental footprints of air mobility for airliners and unmanned aircraft systems (UAS) at a ""multi-scale"" level, where single-trajectories (micro) and the flow traffic of multiple vehicles (macro) are optimised to minimise their environmental impact in a wide range of communities. RefMap investigates how the aviation business models will be affected by the availability of environmental data for each type and route of air vehicle, as this will enable stricter evidence-based Green policy making in the sector. This will be achieved via the development of the RefMap analytics platform processing environmental and weather data such as wind, noise, CO2 and non-CO2 emissions for both U-space and ATM. This platform will rely on a number of technical solutions, including numerical simulation, predictive models, and deep-learning methods. The latter will be used to construct accurate non-intrusive prediction frameworks and to optimize the trajectories of the various vehicles given the predicted flow conditions via deep reinforcement learning (DRL). These will enable the development of a new aviation business models aligned with EU’s Green Agenda."

Status

SIGNED

Call topic

HORIZON-CL5-2022-D5-01-13

Update Date

09-02-2023
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Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.5 Climate, Energy and Mobility
HORIZON.2.5.0 Cross-cutting call topics
HORIZON-CL5-2022-D5-01
HORIZON-CL5-2022-D5-01-13 Digital aviation technologies for new aviation business models, services, emerging global threats and industrial competitiveness
HORIZON.2.5.6 Industrial Competitiveness in Transport
HORIZON-CL5-2022-D5-01
HORIZON-CL5-2022-D5-01-13 Digital aviation technologies for new aviation business models, services, emerging global threats and industrial competitiveness
HORIZON.2.5.7 Clean, Safe and Accessible Transport and Mobility
HORIZON-CL5-2022-D5-01
HORIZON-CL5-2022-D5-01-13 Digital aviation technologies for new aviation business models, services, emerging global threats and industrial competitiveness