From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment

Published in Transportation Research Part C: Emerging Technologies, 2026 · arXiv

Representative figure for this publication
Animated surface collision risk map at Atlanta, computed from understood pilot and controller radio calls.

Language AI that interprets pilot-ATC radio communication and fuses it with surveillance data to assess collision risk during airport surface movement.

* Corresponding author.

Representative publication of this research line.

Recommended citation

@article{pang2026from,
  title = {From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment},
  author = {Pang, Y. and Kendall, A. P. and Porcayo, A. and Barsotti, M. and Jain, A. and Clarke, J.},
  journal = {Transportation Research Part C: Emerging Technologies},
  volume = {184},
  pages = {105540},
  year = {2026},
  eprint = {2503.04974},
  archivePrefix = {arXiv},
  primaryClass = {eess.AS},
  url = {https://arxiv.org/abs/2503.04974}
}