Yuzhi Chen

Yuzhi Chen (陈芋志) received the master’s degree in transportation engineering with Guilin University of Electronic Technology. He is currently pursuing a Ph.D. degree in Communication and Transportation Engineering at Southeast University, under the supervision of Prof. Chen Wang and Prof. Yuanchang Xie. His research interests include intelligent transportation systems, connected and automated driving, crash risk measure, risky driving behavior and safety, big data mining and analysis.

He also serves as a Young Editorial Board Member of Digital Transportation and Safety, and as a reviewer for International journals including Accident Analysis and Prevent, IEEE TITS, IEEE TVT, Information Science, Applied Soft Computing Journal, Engineering Applications of Artificial Intelligence, Neural Computing and Applications, The Journal of Supercomputing, COTA CICTP, TRB,IET Intelligent Transport Systems, and IET Image Processing. He has completed more than 200 review articles.

If you are interested in any aspect of me, I would love to chat and collaborate, please email me at - y.z.chen.fhy@gmail.com

Academic Background

PhD: Communication and Transportation Engineering, (2022-), Southeast University
Advisors: Prof. Chen Wang & Prof. Yuanchang Xie
MS: Transportation Engineering, (2019–2022), Guilin University of Electronic Technology
Advisors: Prof. Tao Wang & Xingchen Yan
BS: Traffic Engineering, (2015–2019), Yangzhou University
Advisor: Prof. Shejun Deng

Research Interests

Intelligent Transportation systems
Connected and Automated Vehicle
Crash Risk Measure and Driver Behavior
Big Data Mining and Analysis
My latest research proposal (Jan 2025)🔗

Projects

【Host】

Postgraduate Research & Practice Innovation Program of Jiangsu Province: Risk Identification and Hierarchical Collaborative Intervention for Intelligent Vehicles Considering Human-Machine Co-Driving States(No. KYCX23_0306) 🎉
Tsinghua-Toyota Automated Driving Project: The traffic accident detection and report of automated vehicles at Lv4 level (Partially hosted)
Innovation Project of GUET Graduate Education: Driver risk perception in an intelligent vehicle-road collaborative context. (No.2020YCXS121)
An Innovative Entrepreneurship Training Program for university students in Jiangsu Province (No.201811117082X)

【Participate】

National Key R&D Program of China: Rapid Recovery and Control Technology for Urban Traffic in Accident Environments Based on Artificial Intelligence (No. 2023YFE0106800)
National Natural Science Foundation of China: Risk evaluation technology of human-computer driving intelligent vehicle under complex traffic environment (No. 52262047)
Jiangsu Provincial Foundation for Distinguished Young Scholars: Intelligent Prevention and Control of Road Traffic Safety Risks (No. BK20231531)
Natural Science Foundation of Guangxi Province: Risky driving behavior of electric bicycles in sophisticated road traffic environment (No. 2020GXNSFAA159153)
Specific Research Project of Guangxi for Research Bases and Talents: Intelligent control technology of urban traffic based on the deep integration of big data (No. AD20159035)
Traffic impact assessment of the control plan of Guilin China Resources Phase II site of CR Land South China Region
Industry Standards at Provincial and Ministerial Levels: Urban public transport stations construction standards