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PUBMED FOR HANDHELDS

Journal Abstract Search


189 related items for PubMed ID: 34837850

  • 1.
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  • 2. Impact of heterogeneity of car-following behavior on rear-end crash risk.
    Zhang J, Wang Y, Lu G.
    Accid Anal Prev; 2019 Apr; 125():275-289. PubMed ID: 30802778
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  • 4. Assessing rear-end crash potential in urban locations based on vehicle-by-vehicle interactions, geometric characteristics and operational conditions.
    Dimitriou L, Stylianou K, Abdel-Aty MA.
    Accid Anal Prev; 2018 Sep; 118():221-235. PubMed ID: 29502853
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  • 6. Analysis of rear-end crash potential and driver contributing factors based on car-following driving simulation.
    Bumrungsup L, Kanitpong K.
    Traffic Inj Prev; 2022 Sep; 23(5):296-301. PubMed ID: 35522546
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  • 7. Glass half-full: On-road glance metrics differentiate crashes from near-crashes in the 100-Car data.
    Seppelt BD, Seaman S, Lee J, Angell LS, Mehler B, Reimer B.
    Accid Anal Prev; 2017 Oct; 107():48-62. PubMed ID: 28787612
    [Abstract] [Full Text] [Related]

  • 8. Comparison of crash rates and rear-end striking crashes among novice teens and experienced adults using the SHRP2 Naturalistic Driving Study.
    Seacrist T, Belwadi A, Prabahar A, Chamberlain S, Megariotis J, Loeb H.
    Traffic Inj Prev; 2016 Sep; 17 Suppl 1():48-52. PubMed ID: 27586102
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  • 9. Car accidents and risky driving behaviors among young drivers from the Eastern Province, Saudi Arabia.
    Alhomoud M, AlSaleh E, Alzaher B.
    Traffic Inj Prev; 2022 Sep; 23(8):471-477. PubMed ID: 35998073
    [Abstract] [Full Text] [Related]

  • 10. Analysis of near crashes among teen, young adult, and experienced adult drivers using the SHRP2 naturalistic driving study.
    Seacrist T, Douglas EC, Huang E, Megariotis J, Prabahar A, Kashem A, Elzarka A, Haber L, MacKinney T, Loeb H.
    Traffic Inj Prev; 2018 Feb 28; 19(sup1):S89-S96. PubMed ID: 29584473
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  • 12. Steering or braking avoidance response in SHRP2 rear-end crashes and near-crashes: A decision tree approach.
    Sarkar A, Hickman JS, McDonald AD, Huang W, Vogelpohl T, Markkula G.
    Accid Anal Prev; 2021 May 28; 154():106055. PubMed ID: 33691227
    [Abstract] [Full Text] [Related]

  • 13. Developing an improved automatic preventive braking system based on safety-critical car-following events from naturalistic driving study data.
    Zhou W, Wang X, Glaser Y, Wu X, Xu X.
    Accid Anal Prev; 2022 Dec 28; 178():106834. PubMed ID: 36150234
    [Abstract] [Full Text] [Related]

  • 14. Using naturalistic driving study data to investigate the impact of driver distraction on driver's brake reaction time in freeway rear-end events in car-following situation.
    Gao J, Davis GA.
    J Safety Res; 2017 Dec 28; 63():195-204. PubMed ID: 29203019
    [Abstract] [Full Text] [Related]

  • 15. Near crash characteristics among risky drivers using the SHRP2 naturalistic driving study.
    Seacrist T, Douglas EC, Hannan C, Rogers R, Belwadi A, Loeb H.
    J Safety Res; 2020 Jun 28; 73():263-269. PubMed ID: 32563402
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  • 18. Validity of failure-caused traffic conflicts as surrogates of rear-end collisions in naturalistic driving studies.
    Tarko AP, Lizarazo CG.
    Accid Anal Prev; 2021 Jan 28; 149():105863. PubMed ID: 33189030
    [Abstract] [Full Text] [Related]

  • 19. How instantaneous driving behavior contributes to crashes at intersections: Extracting useful information from connected vehicle message data.
    Arvin R, Kamrani M, Khattak AJ.
    Accid Anal Prev; 2019 Jun 28; 127():118-133. PubMed ID: 30851563
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