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ATM application-oriented research for Artificial Intelligence (AI) for aviation


The challenge is to design and develop concrete innovative AI applications (that are already TRL1, achieved within SESAR programme or outside) that aim at:

  • Enabling better use of data, leading to more accurate predictions and more sophisticated tools (e.g. new conflict detection, traffic advisory and resolution tools), increased productivity and enhancing the use of airspace and airport;
  • Enriching aviation datasets with new types of datasets unlocking air/ground AI-based applications, fostering data-sharing and building up an inclusive AI aviation/ATM partnership to better support decision-makers, pilots, air traffic controllers and other stakeholders;
  • Supporting (i.e. AI assistants) all ATM actors from planning to operations and across all airspace users;
  • Enabling the virtualisation of infrastructure and air traffic service provision in all types of airspace, ranging from very low to high altitude operations. In doing so, AI will enable the system to become mor