SESAR project evaluates whether AI can assist air traffic controllers

AWARE – a SESAR Joint Undertaking project – has recently completed a series of validation activities designed to assess how Artificial Situational Awareness (ASA) supports air traffic controllers by predicting intent, reducing workload and improving decision-making in complex traffic scenarios.

AWARE is developing a proof-of-concept AI assistant to enhance Artificial Situational Awareness (ASA) in air traffic management. The system constructs a knowledge graph of the traffic situation using aeronautical data models and applies rule-based reasoning to interpret operational context. To move beyond a static understanding, it incorporates controller attention tracking and human–machine interface interactions to infer the intent of an Air Traffic Control Officer (ATCO). When integrated with operational platforms, it aims to deliver context-aware recommendations and task support.

From 15-24 April 2026, the AWARE project used a variety of simulations of both high and projected future traffic volumes, assessing ASA’s impact on ATM efficiency, capacity, environmental sustainability and safety: key priorities for addressing increasing airspace complexity in Europe. The validation compared baseline and AI-assisted scenarios, assessing impacts on workload, decision-making, capacity, safety, and environmental performance under varying traffic conditions.

Find out more here.