Kuei-Fang Hsueh

Papers

Total Citations

H-Index

About

Kuei-Fang Hsueh is a researcher advancing the field of intelligent transportation systems, with a focus on autonomous vehicle platooning and cooperative adaptive cruise control (CACC). Her work addresses a critical challenge in connected vehicle technology: the impact of time-varying communication delays on system stability and performance. In her 2024 paper on validating an autonomous vehicle platoons model with time-varying communication delays, she provides rigorous validation frameworks that have already garnered 7 citations, signaling growing recognition in the field. Her 2023 study introduces a deep time delay filter for CACC, a novel approach that leverages deep learning to mitigate communication delays without compromising control performance—a significant departure from traditional methods that often require conservative adjustments. This work has earned 3 citations and demonstrates her ability to bridge control theory and machine learning for real-world transportation solutions. Hsueh’s contributions are particularly valuable as autonomous vehicle systems move toward deployment, where reliable platooning can reduce traffic congestion and enhance road safety. Her research is essential reading for engineers and researchers working on connected and automated vehicle technologies.