INTUIT Position Paper

Download it here

Join our group on ATM Economics

& Performance

INTUIT (Interactive Toolset for Understanding Trade-offs in ATM Performance) is a research project within SESAR 2020 Exploratory Research which aims to explore the potential of a variety of visual analytics and machine learning techniques to improve our understanding of the trade-offs between Air Traffic Management KPAs, identify cause-effect relationships between performance drivers and performance indicators at different scales, and develop new decision support tools for ATM performance monitoring and management. The project is conducted by a consortium composed by Nommon (Project Coordinator), ALG, Fraunhofer-IAIS, CeDInt-UPM, and Transport & Mobility Leuven. The project started on 1 March 2016 and will run for 24 months.

This project has received funding from the SESAR JU under grant agreement No 699303 under European Union’s Horizon 2020 research and innovation programme

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