Air Traffic Controller

Air traffic control (ATC) research focuses on improving the efficiency and safety of air traffic management, particularly in increasingly complex environments like urban air mobility. Current research employs machine learning, including graph neural networks and deep reinforcement learning, to predict aircraft trajectories, automate conflict resolution, and develop intelligent decision support systems for controllers. These advancements aim to enhance controller training, reduce workload, and improve overall air traffic flow, leading to safer and more efficient airspace management.