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PUBMED FOR HANDHELDS

Journal Abstract Search


231 related items for PubMed ID: 23398704

  • 1. Narrative text analysis to identify technologies to prevent motor vehicle crashes: examples from military vehicles.
    Pollack KM, Yee N, Canham-Chervak M, Rossen L, Bachynski KE, Baker SP.
    J Safety Res; 2013 Feb; 44():45-9. PubMed ID: 23398704
    [Abstract] [Full Text] [Related]

  • 2. Experiences of model year 2011 Dodge and Jeep owners with collision avoidance and related technologies.
    Cicchino JB, McCartt AT.
    Traffic Inj Prev; 2015 Feb; 16():298-303. PubMed ID: 24983299
    [Abstract] [Full Text] [Related]

  • 3. Effectiveness of front crash prevention systems in reducing large truck real-world crash rates.
    Teoh ER.
    Traffic Inj Prev; 2021 Feb; 22(4):284-289. PubMed ID: 33769151
    [Abstract] [Full Text] [Related]

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  • 5. Crash avoidance potential of four large truck technologies.
    Jermakian JS.
    Accid Anal Prev; 2012 Nov; 49():338-46. PubMed ID: 22763402
    [Abstract] [Full Text] [Related]

  • 6. Assessment of the safety benefits of vehicles' advanced driver assistance, connectivity and low level automation systems.
    Yue L, Abdel-Aty M, Wu Y, Wang L.
    Accid Anal Prev; 2018 Aug; 117():55-64. PubMed ID: 29654988
    [Abstract] [Full Text] [Related]

  • 7. Characteristics of rear-end crashes involving passenger vehicles with automatic emergency braking.
    Cicchino JB, Zuby DS.
    Traffic Inj Prev; 2019 Aug; 20(sup1):S112-S118. PubMed ID: 31381436
    [Abstract] [Full Text] [Related]

  • 8. The real-world safety potential of connected vehicle technology.
    Doecke S, Grant A, Anderson RW.
    Traffic Inj Prev; 2015 Aug; 16 Suppl 1():S31-5. PubMed ID: 26027973
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  • 10. Are front crash prevention systems less effective at preventing rear-end crashes where trucks and motorcycles are struck?
    Cicchino JB, Kidd DG.
    Traffic Inj Prev; 2024 Aug; 25(3):440-444. PubMed ID: 38466620
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  • 12. Potential occupant injury reduction in the U.S. vehicle fleet for lane departure warning-equipped vehicles in single-vehicle crashes.
    Kusano K, Gorman TI, Sherony R, Gabler HC.
    Traffic Inj Prev; 2014 Aug; 15 Suppl 1():S157-64. PubMed ID: 25307382
    [Abstract] [Full Text] [Related]

  • 13. Systematic review of military motor vehicle crash-related injuries.
    Krahl PL, Jankosky CJ, Thomas RJ, Hooper TI.
    Am J Prev Med; 2010 Jan; 38(1 Suppl):S189-96. PubMed ID: 20117592
    [Abstract] [Full Text] [Related]

  • 14. Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates.
    Cicchino JB.
    Accid Anal Prev; 2017 Feb; 99(Pt A):142-152. PubMed ID: 27898367
    [Abstract] [Full Text] [Related]

  • 15. Rear seat safety: Variation in protection by occupant, crash and vehicle characteristics.
    Durbin DR, Jermakian JS, Kallan MJ, McCartt AT, Arbogast KB, Zonfrillo MR, Myers RK.
    Accid Anal Prev; 2015 Jul; 80():185-92. PubMed ID: 25912100
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  • 17. How can front crash prevention systems address more police-reported crashes in the United States?
    Kidd DG, Teoh ER, Jermakian JS.
    Accid Anal Prev; 2023 Oct; 191():107199. PubMed ID: 37406545
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  • 18. Real-world effects of rear cross-traffic alert on police-reported backing crashes.
    Cicchino JB.
    Accid Anal Prev; 2019 Feb; 123():350-355. PubMed ID: 30580146
    [Abstract] [Full Text] [Related]

  • 19. Cost and benefit estimates of partially-automated vehicle collision avoidance technologies.
    Harper CD, Hendrickson CT, Samaras C.
    Accid Anal Prev; 2016 Oct; 95(Pt A):104-15. PubMed ID: 27423430
    [Abstract] [Full Text] [Related]

  • 20. Improving the safety relevance of automatic emergency braking testing programs: An examination of common characteristics of police-reported rear-end crashes in the United States.
    Kidd DG.
    Traffic Inj Prev; 2022 Oct; 23(sup1):S137-S142. PubMed ID: 35767826
    [Abstract] [Full Text] [Related]


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