Yutian Pang, PhD

Yutian Pang, PhD

Postdoctoral Fellow, Aerospace Engineering & Engineering Mechanics

Data-Driven Runway and Taxiway Exits Prediction of Landing Aircraft: A Case Study at Hartsfield-Jackson Atlanta International Airport

Published in Journal of Air Transport Management, 2026 · arXiv

Representative figure for this publication
The two stage prediction problem at Atlanta: which runway exit a landing aircraft takes and where it crosses the taxiway.

A machine-learning model that predicts which runway and taxiway exit a landing aircraft will take, giving surface-traffic planners earlier and more reliable information at the world’s busiest airport.

* Corresponding author.

Representative publication of this research line.

Recommended citation 

@article{porcayo2026data,
  title = {Data-Driven Runway and Taxiway Exits Prediction of Landing Aircraft: A Case Study at Hartsfield-Jackson Atlanta International Airport},
  author = {Porcayo, A. and Pang, Y. and Thomas, M. and Clarke, J.},
  journal = {Journal of Air Transport Management},
  year = {2026},
  eprint = {2606.11017},
  archivePrefix = {arXiv},
  primaryClass = {cs.LG},
  url = {https://arxiv.org/abs/2606.11017}
}