GreAT - Greener Air Traffic Operations (EU H2020)

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GreAT - Greener Air Traffic Operations (EU H2020)

The GreAT project (Greener Air Traffic Operations) is a European-Chinese Research and Innovation Action (H2020 grant GA N°875154) focusing on new strategies towards “greener” flight trajectories. This will be achieved by innovative air traffic guidance concepts and optimized routings near airports, in the terminal control area as well as during cruise flight. The concepts will consider various factors like atmospheric conditions and current airspace constraints. An intense air-ground data exchange is one of the pillars of this approach. In contrast to former optimization strategies, GreAT will not solely focus on efficiency and capacity. Instead its focal point is the reduction of aviation’s environmental impact, a crucial part of the future ATM. Led by DLR, the consortium consists of HungaroControl – Hungarian Air Navigation Services (Hungary), Universidad Politécnica de Madrid (UPM, Spain), L-UP (France), Royal Dutch Airlines (Koninklijke Luchtvaart Maatschappij; KLM, Netherlands), the Italian Aerospace Research Centre (Centro Italiano Ricerche Aerospaziali; CIRA, Italy), and Pildo Labs (Spain) on the European side. On the Chinese side, the Chinese Aeronautical Radio Electronics Research Institute (CARERI), the Civil Aviation Administration of China (CAAC), the Civil Aviation University of China (CAUC), the China Electronics Technology Avionics Company (CETCA), the Nanjing Research Institute of Electronic Engineering (NRIEE) and the Nanjing University of Aeronautics and Astronautics (NUAA) are participating in GreAT GreAT is one of four projects investigating different strategies to counteract aviation’s impact on climate change. The three ‘sister’ projects CliMOP (GA No 875503), ACACIA (GA No 875036) and ALTERNATE (GA No 875538) started also in January 2020, aiming for an intense research exchange and collaboration with GreAT throughout their whole duration.


Linked in : H2020-GreAT


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement n° 875154.

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May 20, 2020
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