GENERAL INFORMATION
Email: xuyr@seu.edu.cn
RESEARCH INTERESTS
Active traffic safety
Human-machine shared driving
Driving behavior
Intelligent transportation system
EDUCATION EXPERIENCE
2016.03-2019.09 School of Transportation, Southeast University, PH.D.
2017.11-2018.11 University of Michigan Transportation Research Institute, UMTRI, Joint PH.D.
2013.09-2016.01 School of Transportation, Southeast University, Master
2009.09-2013.06 School of Transportation, Southeast University, Bachelor
WORK EXPERIENCE
2021.03-Now, Intelligent Transportation System Research Center, Southeast University, assistant professor
2019.10-2020.12, Chalmers University of Technology, Postdoctoral researcher
RESEARCH PROJECTS
National Natural Science Foundation of China, 52202410, Take-over control model for human-machine co-driving vehicles on freeway ramps considering driver multi-role behavior risks, Principal Investigator
The National Key Research and Development Program of China, Autonomous Transportation System (ATS) operation and environmental state holographic sensing technology, Co-investigator
National Natural Science Foundation of China, Hierarchical fine-tuning methods for proactive safety warning system of commercial bus considering drivers’ differential response mechanisms, Co-investigator
SELECTED PUBLICATIONS
[1] Xu, Y., Zheng, Y., & Yang, Y*. On the movement simulations of electric vehicles: A behavioral model-based approach. Applied Energy, 283, 116356, 2021.
[2] Xu, Y., Bao, S.*, Pradhan, A., & Sayer, J. Modeling Drivers’ Reaction When Being Tailgated: A Random Forests Method. Journal of safety research, 78, 28-35,2021.
[3] Xu, Y., Ye, Z.*, Wang, Y., Wang, C., & Sun, C. Evaluating the influence of road lighting on traffic safety at accesses using an artificial neural network. Traffic injury prevention, 19(6), 601-606, 2018.
[4] Ye, Z.*, Xu, Y., & Lord, D. Crash data modeling with a generalized estimator. Accident Analysis & Prevention, 117, 340-345, 2018.
[5] Ye, Z.*, Xu, Y., Veneziano, D., & Shi, X. Evaluation of winter maintenance chemicals and crashes with an artificial neural network. Transportation Research Record, 2440(1), 43-50, 2014.