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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

273 related items for PubMed ID: 34774280

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  • 2. 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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  • 4. Stated preference analysis of autonomous vehicle among bicyclists and pedestrians in Pittsburgh using Bayesian Networks.
    Imanishimwe D, Kumar A.
    Accid Anal Prev; 2023 Nov; 192():107278. PubMed ID: 37683566
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  • 7. Analyzing relationships between latent topics in autonomous vehicle crash narratives and crash severity using natural language processing techniques and explainable XGBoost.
    Li P, Chen S, Yue L, Xu Y, Noyce DA.
    Accid Anal Prev; 2024 Aug; 203():107605. PubMed ID: 38743983
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  • 10. A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw.
    Ijaz M, Lan L, Zahid M, Jamal A.
    Accid Anal Prev; 2021 May; 154():106094. PubMed ID: 33756425
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  • 14. Exploring the mechanism of crashes with automated vehicles using statistical modeling approaches.
    Wang S, Li Z.
    PLoS One; 2019 May; 14(3):e0214550. PubMed ID: 30921396
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  • 16. Vulnerable Road Users and Connected Autonomous Vehicles Interaction: A Survey.
    Reyes-Muñoz A, Guerrero-Ibáñez J.
    Sensors (Basel); 2022 Jun 18; 22(12):. PubMed ID: 35746397
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  • 17. A Bayesian extreme value theory modelling framework to assess corridor-wide pedestrian safety using autonomous vehicle sensor data.
    Singh S, Ali Y, Haque MM.
    Accid Anal Prev; 2024 Feb 18; 195():107416. PubMed ID: 38056025
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