AUTONOMOUS AIR TRAFFIC CONTROL

Autonomous air traffic control represents a transformative shift from traditional ground-based radar systems to intelligent, AI-driven platforms capable of managing complex airspace operations with minimal human intervention. Current trials at major hubs like London Heathrow demonstrate that artificial intelligence can successfully process radar and video data to track aircraft movements and assist controllers during low visibility conditions. The technical architecture leverages machine learning algorithms, particularly reinforcement learning and neural networks, to predict conflicts and generate resolution strategies with accuracy rates exceeding 99% for situation classification and 1.5 nautical mile precision for distance estimation.

AUT001 - Technical Architecture and Feasibility
AUT002 - Safety and Risk Analysis
AUT003 - Regulatory and Implementation Challenges
AUT004 - Economic and Operational Considerations