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Profile
Hanchu Zhou, Assistant Professor at the School of Traffic and Transportation Engineering, Central South University. He holds dual Ph.D. degrees in Transportation Engineering from Central South University and in Data Science from City University of Hong Kong, and completed postdoctoral research at the University of Hong Kong. He has participated in over ten national and provincial/ministerial research projects, including general projects and international (regional) cooperation projects of the National Natural Science Foundation of China (NSFC), and serves as the principal investigator for a sub-task of a National Key R&D Program. He has published 10 SCI/SSCI papers as first/corresponding author, including one ESI Highly Cited Paper, with a total of 558 citations and a Google H-index of 9. His research interests include traffic big data analysis, transportation system safety, and safety testing of intelligent connected vehicles.
*** Plans to recruit 3 master’s students for the 2026 intake (3 positions already filled). Research topics include semantic analysis of traffic scenes, generation of autonomous driving test scenarios integrating semantic information, etc.
Representative Publications:
[1] Xu, P., Wang, Q., Ye, Y., Wong, S. C., & Zhou, H*. (2025). Text as data: Narrative mining of non-collision injury incidents on public buses by structural topic modeling. Travel Behaviour and Society, 39, 100981.
[2] Zhou, R., Lin, Z., Zhang, G., Huang, H., Zhou, H*., & Chen, J. (2024). Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers. IEEE Transactions on Intelligent Transportation Systems.
[3] Chang, F., Huang, H., Chan, A. H., Man, S. S., Gong, Y., & Zhou, H*. (2022). Capturing long-memory properties in road fatality rate series by an autoregressive fractionally integrated moving average model with generalized autoregressive conditional heteroscedasticity: A case study of Florida, the United States, 1975–2018. Journal of Safety Research, 81, 216-224.
[4] Xu, P., Bai, L., Pei, X., Wong, S. C., & Zhou, H*. (2022). Uncertainty matters: Bayesian modeling of bicycle crashes with incomplete exposure data. Accident Analysis & Prevention, 165, 106518.
[5] Zhou, H., Huang, H., Xu, P., Chang, F., & Abdel-Aty, M. (2019). Incorporating spatial effects into temporal dynamic of road traffic fatality risks: A case study on 48 lower states of the United States, 1975–2015. Accident Analysis & Prevention, 132, 105283.
Undergraduate Competitions:
National College Student Transportation Science and Technology Competition
Multimodal Generative AI Large Model for Traffic Safety. Team members: Li Xiang, Zhang Xinyi, Xie An, Song Shiyi, Ma Jiakang. National First Prize, 2024.
Autonomous Driving Test Scenario Generation Method Based on Chain-of-Thought of Large Language Models. Team members: Kan Jiayuan, Zhang Yusen, Liu Yi, Jin Zhuoyan, Yuan Haoming. University-level Third Prize, 2025.
China International College Students’ Innovation Competition
AI Large Model for Intelligent Connected Vehicle Test Scenario Generation. Leader: Lin Yining; Team members: Zhu Sihan, Mao Rui, Hu Jianing, Zhang Jiahao, Shi Xiangteng, Li Weixiang, Liu Zexin, Wang Yuchao, Liu Quanzi, Li Xiang, Zhang Xinyi. University-level Second Prize, 2024.
Research Projects:
[1] Shandong Provincial Natural Science Foundation Joint Fund Special Project: Research on Closed-Loop Intelligent Vehicle-Road Testing Methods and Technology System Integrating Virtual and Real Environments (ZR2024LZN019), 2025–2027, Principal Investigator.
[2] National Key R&D Program Sub-task 3.3: Information Sharing Technology for Vehicle State and Driving Intention in Cooperative Connected Driving (2023YFB2504703), 2023–2026, Principal Investigator.
[3] Youth Project of Humanities and Social Sciences Research, Ministry of Education: Research on the Impact and Transformation of Autonomous Driving Technology on Vulnerable Road User Safety (24YJCZH460), 2024–2026, Principal Investigator.
[4] Hunan Provincial Natural Science Foundation Regional Joint Project: Fine-scale Simulation Modeling and Targeted Prevention and Control Technology of Infectious Diseases for the Construction Needs of Huaihua International Land Port (2024JJ7624), 2024–2026, Principal Investigator.
[5] Changsha Science and Technology Major Special Project: Research and Application of Generative AI Large Model for Object Behavior Prediction in Intelligent Driving (kh2401002), 2024–2026, Project Contact and Major Participant; Project Leader: Huang Helai.
[6] NSFC General Project: Research on Variable Speed Limit Guidance and Control for Bottleneck Sections of Highway Mainline Based on Flow-Particle Coordination (52472371), 2024–2026, Major Participant; Project Leader: Li Ye.
[7] Central South University Graduate Independent Exploration and Innovation Project: Traffic Accident Data Restoration and Information Mining Technology Based on Accident Description Text (2019zzts868), 2020–2023, Principal Investigator.
[8] NSFC General Project: Traffic Accident Data Restoration and Information Mining Technology Based on Accident Description Text (71971222), 2020–2023, Major Participant; Project Leader: Huang Helai.
Contact: hanchuzhou@csu.edu.cn
Mailing Address: Transportation Building, Railway Campus, Central South University, Tianxin District, Changsha, Hunan Province, 410075, China