I am a Lecturer in the College of Metropolitan Transportation at Beijing University of Technology since July/2025. I received my Ph.D. degree with the School of System Science, Beijing Jiaotong University, China, in Jun/2025. My Ph.D. supervisor is Prof. Xiaobao Yang. From Nov/2023 to Nov/2024, I was a Visiting Scholar at the Smart & Safe Transportation Lab (SST Lab), University of Central Florida, working with Prof. Mohamed Abdel-Aty.

My research focuses on urban transportation safety and system resilience in emerging scenarios such as urban renewal, transport–energy integration, and urban air mobility. In the past five years, I have published 10+ SCI/SSCI papers, including 2 ESI Top 1% Highly Cited Papers, and authored 8 papers as first/corresponding author. My work has appeared in journals such as Transportation Research Part C, Accident Analysis & Prevention, Reliability Engineering & System Safety, Transport Policy. A full list of publications is available here.

If you are interested in collaboration, please feel free to email me at pengfeicui@bjut.edu.cn, or visit my homepage at pengfeicui.github.io.

⭐ Featured Publications

Multiscale geographical random forest: A novel spatial ML approach for traffic safety modeling integrating street-view semantic visual features

Transportation Research Part C: Emerging Technologies, 2025, 179: 105299

Cui P, Abdel-Aty M, Han L, et al.

This study proposes a multiscale geographical random forest framework that integrates street-view semantic visual features for traffic safety modeling, advancing spatial machine learning approaches in transportation safety research.

Traffic Safety Spatial ML Visual Features Machine Learning

Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning (ESI Highly Cited Paper)

Accident Analysis & Prevention, 2024, 200: 107564

Cui P, Yang X, Abdel-Aty M, Zhang J, Yan X

This study develops a sparse spatio-temporal dynamic learning approach for urban traffic accident forecasting, improving prediction accuracy through advanced spatiotemporal modeling techniques.

Accident Forecasting Spatiotemporal Modeling Deep Learning