Yuanxiang Yang

Yuanxiang Yang is a Doctoral Researcher and Doctoral Student affiliated with the School of Engineering, with primary research roles in the Spatial Planning and Transportation Engineering department and secondary involvement in the Department of Built Environment. Their work aligns with the UN Sustainable Development Goals, focusing on road engineering and traffic control solutions to enhance urban mobility and safety.

Research interests include vehicle trajectory reconstruction, dynamic traffic modeling, and crash analysis. They develop interdisciplinary methods like hybrid data fusion approaches, latent class clustering, and numerical simulations to address complex transportation challenges. Recent studies emphasize improving traffic management through predictive algorithms and analyzing risks associated with risky driving behaviors and scooter-style electric bicycle crashes.

Publications span 2024 and 2025, with a trend toward data-driven strategies in transportation engineering. Notable contributions include frameworks for vehicle trajectory reconstruction, lane-changing congestion mitigation strategies, and safety analyses of delivery rider behaviors. These works often appear in peer-reviewed journals like Transportmetrica A: Transport Science and Journal of Transportation Engineering.

No scientific awards, grants, or formal advisees are mentioned. Collaborations with international researchers are indicated but not detailed. Specific laboratories or teams are not specified in the provided information.