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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.
Publication Date
4-1-2025
Keywords
NLP, ATC, Generative AI, Air-Traffic
Recommended Citation
Green, Stefan; Hood, Everett-Alan; Baker, Na’im; and Moradi, Hamidreza, "Generative-AI for Air Traffic Control Enhancement: Advancing Safety and Communication Efficiency for Autonomous & Manned Vehicles" (2025). 2025 Graduate Student Research Symposium. 153.
https://digital.library.ncat.edu/gradresearchsymposium25/153
