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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

365 related items for PubMed ID: 36580765

  • 1. Advancing investigation of automated vehicle crashes using text analytics of crash narratives and Bayesian analysis.
    Lee S, Arvin R, Khattak AJ.
    Accid Anal Prev; 2023 Mar; 181():106932. PubMed ID: 36580765
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  • 2. Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach.
    Boggs AM, Wali B, Khattak AJ.
    Accid Anal Prev; 2020 Feb; 135():105354. PubMed ID: 31790970
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  • 3. Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology.
    Liu Q, Wang X, Wu X, Glaser Y, He L.
    Accid Anal Prev; 2021 Sep; 159():106281. PubMed ID: 34273622
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  • 9. Exploring the mechanism of crashes with automated vehicles using statistical modeling approaches.
    Wang S, Li Z.
    PLoS One; 2019 Sep; 14(3):e0214550. PubMed ID: 30921396
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  • 10. What can we learn from the AV crashes? - An association rule analysis for identifying the contributing risky factors.
    Liu P, Guo Y, Liu P, Ding H, Cao J, Zhou J, Feng Z.
    Accid Anal Prev; 2024 May; 199():107492. PubMed ID: 38428241
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  • 13. Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles.
    Mahdinia I, Mohammadnazar A, Arvin R, Khattak AJ.
    Accid Anal Prev; 2021 Mar; 152():106006. PubMed ID: 33556655
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  • 14. Comparison of automated vehicle struck-from-behind crash rates with national rates using naturalistic data.
    Goodall NJ.
    Accid Anal Prev; 2021 May; 154():106056. PubMed ID: 33756426
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  • 18. Multi-agent traffic simulations to estimate the impact of automated technologies on safety.
    Kitajima S, Shimono K, Tajima J, Antona-Makoshi J, Uchida N.
    Traffic Inj Prev; 2019 May; 20(sup1):S58-S64. PubMed ID: 31381431
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