Learning for Air Traffic Management: guidelines for future AI systems

The SESAR-funded Modern ATM via Human / Automation Learning Optimisation (MAHALO) project recently completed two years of technical work exploring the human performance impacts of AI and Machine Learning (ML), as applied to enroute ATC conflict detection and resolution (CD&R). It first developed a hybrid ML CD&R capability, along with a...

Air traffic controller decision-making consistency and consensus in conflict solution performance

Consistency and consensus in conflict solution performance was investigated in two real-time simulations involving experienced air traffic controllers and trainees. The simulations consisted of participants repeatedly playing a specific en route traffic scenario. Conflict solution performance and consistency was measured by analysing participant...