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AI in Air Traffic Control – Monad Participates in the Europe-wide TADA Project

  • Kirjoittanut

    Karri Harju

    Julkaistu

Monad is involved in developing a digital assistant that enhances air traffic management and control at busy airports. The TADA project, which began this summer, utilises Machine Learning and historical radar data. The project is managed by the SESAR 3 Joint Undertaking and funded by the European Commission. Its goal is to create a tool that supports air traffic controllers in decision-making, thereby improving the safety and efficiency of air traffic.


At major airports, Terminal Manoeuvring Areas (TMA) are often heavily congested, causing delays to flights. The TADA project aims to increase airspace capacity by optimising aircraft flight paths and improving the flow of traffic.

For Monad, it’s important to contribute to creating future solutions for air traffic management and control: “In this project, we are leveraging our expertise in the aviation sector, as well as our extensive experience in applying AI for various purposes. It’s great that we can help make European Air Traffic Management more efficient and safer,” says Tomi Äijö, Head of AI at Monad.

The project is coordinated by Ingenav from Spain. In addition to Monad, other participants include Deep Blue and Enav from Italy, Frequentis Orthogon from Germany, and the University of Malta. Together, this international team combines academic research, technical expertise, and practical experience in air traffic management and control.