Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach
Published in Transportation Research Part C: Emerging Technologies, 2021
Among the first Bayesian deep-learning frameworks for aircraft trajectory prediction to treat convective weather as a first-class source of uncertainty; my most-cited work.
Representative publication of this research line.
Recommended citation
@article{pang2021data,
title = {Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach},
author = {Pang, Y. and Zhao, X. and Yan, H. and Liu, Y.},
journal = {Transportation Research Part C: Emerging Technologies},
volume = {130},
pages = {103326},
year = {2021}
}