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Accident; Analysis and Prevention
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June 13, 2021
On random-parameter count models for out-of-sample crash prediction: Accounting for the variances of random-parameter distributions
Pengpeng Xu, Hanchu Zhou, S C Wong
Accident; Analysis and Prevention
|
May 10, 2025
Generating risky and realistic scenarios for autonomous vehicle tests involving powered two-wheelers: A novel reinforcement learning framework
Zhiyuan Wei, Jiang Bian, Helai Huang, et al.
Journal of Safety Research
|
September 21, 2020
Severity of passenger injuries on public buses: A comparative analysis of collision injuries and non-collision injuries
Hanchu Zhou, Chen Yuan, Ni Dong, et al.
Chaos (Woodbury, N.Y.)
|
October 31, 2021
Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong
Hanchu Zhou, Qingpeng Zhang, Zhidong Cao, et al.
Journal of the American Medical Informatics Association : JAMIA
|
June 26, 2023
Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China
Yao Yao, Hanchu Zhou, Zhidong Cao, et al.
Accident; Analysis and Prevention
|
September 14, 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
Hanchu Zhou, Helai Huang, Pengpeng Xu, et al.
Accident; Analysis and Prevention
|
December 11, 2021
Uncertainty matters: Bayesian modeling of bicycle crashes with incomplete exposure data
Pengpeng Xu, Lu Bai, Xin Pei, et al.
Accident; Analysis and Prevention
|
July 19, 2023
Identifying typical pre-crash scenarios based on in-depth crash data with deep embedded clustering for autonomous vehicle safety testing
Rui Zhou, Helai Huang, Jaeyoung Lee, et al.
Accident; Analysis and Prevention
|
July 11, 2026
Enhancing semantic and risk controllability in safety-critical scenario generation: An LLM-guided conditional diffusion method
Hanchu Zhou, Yaqi Li, Chengcheng Wang, et al.
Accident; Analysis and Prevention
|
May 13, 2026
LLM-enhanced causal graph learning for real-time crash risk prediction
Chenguang Li, Helai Huang, Hanchu Zhou, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 25) with videos related to
Sort By:
Page
of 3
Accident; Analysis and Prevention
|
June 13, 2021
On random-parameter count models for out-of-sample crash prediction: Accounting for the variances of random-parameter distributions
Pengpeng Xu, Hanchu Zhou, S C Wong
Accident; Analysis and Prevention
|
May 10, 2025
Generating risky and realistic scenarios for autonomous vehicle tests involving powered two-wheelers: A novel reinforcement learning framework
Zhiyuan Wei, Jiang Bian, Helai Huang, et al.
Journal of Safety Research
|
September 21, 2020
Severity of passenger injuries on public buses: A comparative analysis of collision injuries and non-collision injuries
Hanchu Zhou, Chen Yuan, Ni Dong, et al.
Chaos (Woodbury, N.Y.)
|
October 31, 2021
Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong
Hanchu Zhou, Qingpeng Zhang, Zhidong Cao, et al.
Journal of the American Medical Informatics Association : JAMIA
|
June 26, 2023
Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China
Yao Yao, Hanchu Zhou, Zhidong Cao, et al.
Accident; Analysis and Prevention
|
September 14, 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
Hanchu Zhou, Helai Huang, Pengpeng Xu, et al.
Accident; Analysis and Prevention
|
December 11, 2021
Uncertainty matters: Bayesian modeling of bicycle crashes with incomplete exposure data
Pengpeng Xu, Lu Bai, Xin Pei, et al.
Accident; Analysis and Prevention
|
July 19, 2023
Identifying typical pre-crash scenarios based on in-depth crash data with deep embedded clustering for autonomous vehicle safety testing
Rui Zhou, Helai Huang, Jaeyoung Lee, et al.
Accident; Analysis and Prevention
|
July 11, 2026
Enhancing semantic and risk controllability in safety-critical scenario generation: An LLM-guided conditional diffusion method
Hanchu Zhou, Yaqi Li, Chengcheng Wang, et al.
Accident; Analysis and Prevention
|
May 13, 2026
LLM-enhanced causal graph learning for real-time crash risk prediction
Chenguang Li, Helai Huang, Hanchu Zhou, et al.
Page
of 3