The ATM-RARE project will focus on enhancing the resilience, safety, and security of highly automated Air Traffic Management (ATM) solutions when faced with High Impact Low Probability (HILP) events. The project will work to make air traffic control systems more robust and prepared for unexpected, high-impact disruptions, especially as ATM increasingly relies on advanced automation and AI. A key part of this effort will involve providing anonymised data related to HILP events to improve understanding and preparedness.
