Generative-AI for Air Traffic Control Enhancement: Advancing Safety and Communication Efficiency for Autonomous & Manned Vehicles

Generative-AI for Air Traffic Control Enhancement: Advancing Safety and Communication Efficiency for Autonomous & Manned Vehicles

Stefan Green, Computer Science, North Carolina Agricultural and Technical State University
Everett-Alan Hood, Computer Science, North Carolina Agricultural and Technical State University
Na’im Baker, Computer Science, North Carolina Agricultural and Technical State University
Hamidreza Moradi, Computer Science, North Carolina Agricultural and Technical State University

Description

With air travel expected to surpass 4 billion passengers post 2025, the demand for efficient air traffic management is growing. Air Traffic Control (ATC) coordinates flights, manages air and ground traffic, and ensures optimal scheduling, but controllers often handle up to thirty aircraft at once, creating significant workload challenges. Generative AI integration in ATC offers a solution by enhancing scheduling, optimizing routing, and improving crew management. By automating key processes, AI can reduce cognitive load, increase safety, and make airspace management more adaptive and scalable, ultimately ensuring safer and more efficient operations.