Enhancement of Air Traffic Controller's Task Engagement for Smooth Transition from Supervisory to Manual Control

To meet the increasing demands of air traffic, automated systems have been introduced to help air traffic controllers cope with the increasing air traffic in the next two decades. A challenge is that the supervision and evaluation of automated conflict detection and resolution tools have to be performed by human air traffic controllers. These...

Determining Air Traffic Controller Proficiency: Identifying a Set of Measures Using Machine Learning

A high drop-out rate is present during current-day air traffic controller (ATCo) training, because the required expertise level is not reached. The determination of the expertise level of ATCo students is currently performed using subjective assessments at a late stage in the training by means of high-fidelity simulator sessions. It is desired...