Pengpeng Xu
Central South University, South China University of Technology, University of Hong Kong, Wuhan University of Technology
Research areas: Engineering · Safety, Risk, Reliability and Quality · Traffic and Road Safety · Urban Transport and Accessibility · Lymphoma Diagnosis and Treatment
About
Pengpeng joined the CSU as an associate professor since November, 2025. He earned PhD degree from HKU and worked as an associate professor in SCUT. His research includes road safety, human-AV interaction, computer vision, and deep learning. He now serves as the associate editor of Transportmetrica A: Transport Science and Traffic Injury Prevention, the assistant editor of Transportation Safety & Environment, and the editorial board member of Accident Analysis & Prevention.
Employment
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Central South University Associate professor2025 - Present
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South China University of Technology Associate professor2022 - 2025
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University of Hong Kong Postdoc2020 - 2022
Education
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University of Hong Kong PhD candidate2016 - 2020
- 2012 - 2015
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Wuhan University of Technology Bachelor2008 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (60)
- A large-vehicle-coupled driving risk field model for risk assessment at signalized intersections Save
- TruckAct: A multi-source, multimodal dataset for real-world truck driver activity recognition Save
- Enhancing semantic and risk controllability in safety-critical scenario generation: An LLM-guided conditional diffusion method Save
- Modelling injury severity of pedestrian crashes on urban road networks: a random-parameter spatial-joint logistic regression approach Save
- AD-YOLO: A Unified Method for Traffic-Dense and Small Object Detection in UAV Images Save
- Adaptive Observation A* (AOA*): Efficient deep heuristic A* method for global path planning in mountainous terrain Save
- Real-time highway crash prediction based on SHAP-RFECV and electronic toll collection data: a new feature selection strategy Save
- Varying effects of risk factors on economic losses from fishing vessel accidents: A Bayesian random-parameter quantile regression with heterogeneity in means Save
- KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving Save
- KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving Save
- Wait or cross? Understanding the influence of behavioral tendencies, trust, and risk perception on pedestrian gap-acceptance of automated truck platoons Save
- Wait or cross? Understanding the influence of behavioral tendency, trust, and risk perception on pedestrian gap-acceptance of automated truck platoons Save
- Addressing spatial and temporal heterogeneity in pedestrian crash severity: a partially constrained spatiotemporal logistic regression approach Save
- Examining macro-level traffic crashes considering nonlinear and spatiotemporal spillover effects Save
- Lane Change Prediction for Autonomous Driving With Transferred Trajectory Interaction Save
- Real-Time Crash Risk Prediction of Highways Based on Electronic Toll Collection Big Data Save
- Scheduling Optimization of High-Speed Railway with Consideration of Carbon Reduction Strategy Save
- Fusion of multi-resolution data for estimating speed-density relationships Save
- Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion Save
- Analysis of the injury severity of motor vehicle–pedestrian crashes at urban intersections using spatiotemporal logistic regression models Save