< Teachers
Traffic safety, Maritime transport, Human factors, Data-driven and physics-informed modeling, Intelligent transportation systems
Dr. Yun (Charles) Ye is an Associate Professor in the Faculty of Maritime and Transportation, Ningbo University. He is also a Visiting Lecturer/Researcher at University College London. Dr. Ye received his B.E. degree from Zhejiang University in 2017 and his Ph.D. degree from The University of Hong Kong in 2021. From 2021 to 2023, he served as a Senior Research Engineer at the Central Research Institute and Central Media Technology Institute, 2012 Lab, Huawei Technologies Co., Ltd. He is a recipient of the Marie Skłodowska-Curie Actions (MSCA) Seal of Excellence under the European Commission’s Horizon Europe programme. His honors also include the Lee Shau Kee Postgraduate Fellowship and the Civil Centennial Future Scholars Award from The University of Hong Kong; the Young Talent Support Program of Zhejiang Province; the Yongjiang Young Innovative Talent Award and Top Talent Recognition from Ningbo City; and the Yue-Kong Pao Young Top Scholar Award from Ningbo University. His research focuses on human factors and risk decision-making, traffic safety analytics, maritime transport systems, intelligent transportation behavior modeling, and AI-driven safety systems. He has published extensively in leading journals, including Analytic Methods in Accident Research, IEEE Transactions on Intelligent Transportation Systems, Reliability Engineering & System Safety, Transportation Research Part F: Traffic Psychology and Behaviour, Safety Science, Accident Analysis & Prevention, Travel Behaviour and Society. He has also presented his work at major international conferences such as TRB Annual Meeting and IEEE ITSC. Dr. Ye has led or participated in more than ten research and industry-funded projects and serves as a reviewer for over ten international journals and conferences.
For more details of our group, please visit: Traffic Safety and Intelligence Laboratory, TSI Lab
Education
· 2017-2021: Ph.D in Traffic and Transportation Engineering, The University of Hong Kong
· 2013-2017: B.Eng. in Civil Engineering, Zhejiang University
Professional Experience
· Dec 2025 - Present: Visiting Lecturer/Researcher, SpaceTimeLab, Department of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom
· Mar 2023 - Present: Associate Professor, Faculty of Maritime and Transportation, Ningbo University, Ningbo, China
· Apr 2025 - April 2026: Academic Visitor, Transport Section, Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
· Sep 2022 - Feb 2023: Senior Research Engineer, Central Media Technology Institute, 2012 Lab, Huawei Technologies, Shenzhen, China
· Nov 2021 - Sep 2022: Senior Research Engineer, Central Research Institute, 2012 Lab, Huawei Technologies, Shenzhen, China
· July 2016 - Aug 2016: Research Assistant, The University of Hong Kong, Hong Kong, China
122A39A Ship Safety and Management
123X03A Intelligent Marine Navigation and Information System
1222057 Intelligent Transportation System
1222056 System Modeling and Simulation
121X20A Introduction to Intelligent Ships
084J01B Mathematical Modeling
[1]Ye, Y., Zheng, P., Wang, Q., Wong, S.C., & Xu, P.* (2025). Modeling economic loss associated with fishing vessel accidents: A Bayesian random-parameter generalized beta of the second kind model with heterogeneity in means. Analytic Methods in Accident Research, 46, 100384.
[2]Ye, Y., Liang, H., Sun, J., & Chen, X.* (2025). Distance-informed Neural Eikonal Solver for reactive dynamic user-equilibrium of macroscopic continuum traffic flow model. IEEE Transactions on Intelligent Transportation Systems, 26(6), 8162-8177.
[3]Ye, Y., Zheng, P., Xu, P., Ren, Q., Yan, R., & Gao, X.* (2026). Varying effects of risk factors on economic losses from fishing vessel accidents: A Bayesian random-parameter quantile regression with heterogeneity in means. Reliability Engineering & System Safety, 266, 111690.
[4]Ye, Y., Liu, M., Meng, F., Wong, S.C., Gao, X.*, & Yang, Z. (2026). Temporal instability analysis of fatal commercial fishing vessel incidents: A correlated random-parameter model with heterogeneity in means. Reliability Engineering & System Safety, 274, 112423.
[5]Ye, Y.*, Liu, M., Liu, J., Zhu, K., Cheng, T., & Yang, Z. (2026). Bayesian spatio-temporal modeling of Arctic maritime incidents with integrated nested Laplace approximation. Reliability Engineering & System Safety, 275, 112864.
[6]Ye, Y., Wong, S.C., Li, Y.C.*, & Choi, K.M. (2023). Crossing behaviors of drunk pedestrians unfamiliar with local traffic rules. Safety Science, 157, 105924.
[7]Ye, Y., Wong, S.C.*, Li, Y.C., & Lau, Y.K. (2020). Risks to pedestrians in traffic systems with unfamiliar driving rules: A virtual reality approach. Accident Analysis & Prevention, 142, 105565.
[8]Ye, Y., Wong, S.C.*, Meng, F., & Xu, P. (2021). Right-looking habit and maladaptation of pedestrians in areas with unfamiliar driving rules. Accident Analysis & Prevention, 150, 105921.
[9]Ye, Y., Che, Y., Liang, H., Zhang, Y., & Xu, P. * (2026). Wait or cross? Understanding the influence of behavioral tendency, trust, and risk perception on pedestrian gap-acceptance of automated truck platoons. Transportation Research Part F: Traffic Psychology and Behaviour, 120, 103660.
[10]Ye, Y., Zheng, P., Liang, H., Chen, X., Wong, S.C., & Xu, P.* (2024). Safety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning. Travel Behaviour and Society, 35, 100760.
[11]Ye, Y., Zhou, Z., Ying, C., Xie, J., Chen, X., & Gao, Z.* (2026). Risk-aware pedestrian-vehicle interaction: A multi-objective Bayesian optimized social force model. Transportmetrica A: Transport Science, 1-49.
[12]Che, Y., Wong, M.O., Gao, X., Liang, H., & Ye, Y.* (2026). Enhancing safety in automated ports: A virtual reality study of pedestrian–autonomous vehicle interactions under time pressure, visual constraints, and varying vehicle size. Transportation Research Interdisciplinary Perspectives, 37, 102041.
