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Hanchu Zhou

Showing results (1-10 of 25) with videos related to

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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 distributionsPengpeng 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 frameworkZhiyuan 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 injuriesHanchu 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 KongHanchu 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, ChinaYao 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, 1975-2015Hanchu Zhou, Helai Huang, Pengpeng Xu, et al.
Accident; Analysis and Prevention|December 11, 2021
Uncertainty matters: Bayesian modeling of bicycle crashes with incomplete exposure dataPengpeng 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 testingRui 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 methodHanchu Zhou, Yaqi Li, Chengcheng Wang, et al.
Accident; Analysis and Prevention|May 13, 2026
LLM-enhanced causal graph learning for real-time crash risk predictionChenguang Li, Helai Huang, Hanchu Zhou, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 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 distributionsPengpeng 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 frameworkZhiyuan 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 injuriesHanchu 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 KongHanchu 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, ChinaYao 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, 1975-2015Hanchu Zhou, Helai Huang, Pengpeng Xu, et al.
Accident; Analysis and Prevention|December 11, 2021
Uncertainty matters: Bayesian modeling of bicycle crashes with incomplete exposure dataPengpeng 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 testingRui 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 methodHanchu Zhou, Yaqi Li, Chengcheng Wang, et al.
Accident; Analysis and Prevention|May 13, 2026
LLM-enhanced causal graph learning for real-time crash risk predictionChenguang Li, Helai Huang, Hanchu Zhou, et al.
Pageof 3