Air Traffic Control Using Large Language Models: Prompt Engineering, Architecture, and Evaluation
Abstract
arXiv:2608.19299v1 Announce Type: new Abstract: Air traffic control (ATC) communication is a safety-critical dialogue that remains largely human-driven even as other parts of air traffic management have been semi-automated. In this article, we experimentally evaluate whether large language models (LLMs) can generate operationally realistic ATC transmissions. An experimental general-aviation flight flying over the San Francisco "Bay Tour" route is hand-transcribed and used as ground truth (P0). T
Transparencia: Este análisis ha sido generado con asistencia de inteligencia artificial bajo supervisión editorial de SAPIENSDATAAI.