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Reducing Environmental Footprint through transformative Multi-scale Aviation Planning

Cutting-edge technologies & green management practices to

  • improve air traffic management

  • reduce environmental impact

  • minimise the noise impact of drones on communities and wildlife

The App

Our Mission

Reducing the environmental impact of air travel 

RefMap will create a digital service that optimises flight trajectories on both micro and macro levels. By using environmental data, such as wind, noise, CO2 and non-CO2 emissions, RefMap's analytics platform will help airlines and Unmanned Aerial Systems make more eco-friendly decisions.

RefMap Interviews - Milan Rollo
RefMap Interviews - Mirjam Snellen & Camilo Andino
RefMap Interviews - Manuel Soler
RefMap Interviews  - Sofia Kalakou
RefMap Interviews -  Gareth Whatmore
RefMap Interviews - Sotirios Xydis
RefMap Interviews  - Anna Palaiologk
RefMap Interviews - Evelyn Otero
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Open Call to Stakeholders to shape the future of Aviation & UAM 

RefMap invites aviation and drone experts to give their feedback on the solutions developed by the project and contribute to shaping the future of sustainable aviation.

Your contribution is invaluable for our research and will support developing solutions tailored to the end users' needs.

ATT Cluster
Features

In a nutshell

To make our vision a reality, the RefMap Project brings together an interdisciplinary team of 11 partners from 8 countries that will work closely for 36 months

8

countries

11

partners

36

months

4 034 527

euros

Οur Partners 

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About Us

Our Use Cases

RefMap use cases fall into two different categories, large scale and small scale. Large scale use cases focus on sustainability and aviation regulations for airlines and airports on an EU level, while small scale use cases focus on urban air mobility and the integration of drones to daily activities.

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Osquars backe 8114 28 Stockholm, Sweden

Dissemination e-mail:

refmap@futureneeds.eu

Coordination e-mail: gzampino@kth.se

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This Project has received funding from the European Union’s HORIZON Research and Innovation Programme under Grant Agreement number 101096698

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