Project description

Air traffic control is reputed as one of the five most stressful professions there is. Addressing the mental workload of controllers is therefore an important area of SESAR research and innovation and one that can be addressed using artificial intelligence. The project aims to develop a digital assistant capable of predicting future traffic, and assessing controllers’ stress levels and attention span, and whether they would be capable of handling the anticipated workload. The assistant would decide how to act, following an adaptation strategy: it may, for instance, increase the level of automation, enable additional AI-based tools, or request changes to the airspace (sector splitting).

Project objectives

The strategic objective of the project is to develop a system in which tasks are performed collaboratively by hybrid human-machine teams and dynamically allocated through adaptive automation principles. This will increase the efficiency, capacity, and safety of ATM, maximizing Human-AI teaming.

Latest news & events

CODA models, indexes, strategies and validation platform deliverables are available

1 of June 2025

Several deliverables related to CODA prediction models (both for task prediction and for cognitive state prediction), the Human-Machine Performance Envelope (HMPE) index, and the task allocation strategy are now available. Additionally, the final validation platform is also described in an additional deliverable. Please find links to […]

Airspace World 2025 Communication

13-15 May 2025

A CODA project overview was presented by Christophe HURTER (ENAC – Ecole Nationale de l’Aviation Civile) and Gianluca Borghini (BrainSigns – Sapienza Università di Roma) at the DGAC/DSNA/ENAC booth at Airspace World 2025. Communication was part of SESAR Walking Tours, and more than […]

Eurocontrol FLY AI Forum 2025

22-23 of April 2025

Raquel García Lasheras, Senior R&D Engineer at CRIDA, took the stage at the Fly AI Forum by EUROCONTROL, contributing to the session on Societal and Human Aspects.She shared insights from our project, and explained how AI and air traffic controllers can collaborate using […]

ACKNOWLEDGEMENT

This project has received funding from the SESAR Joint Undertaking under the European Union’s Horizon Europe research and innovation programme under grant agreement No 101114765

CONTACTS

Project Coordinator

STEFANO BONELLI

Dissemination Leader

JUAN ALBERTO BESADA PORTAS

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