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Journal Abstract Search

1067 related items for PubMed ID: 26828955

  • 1. Longitudinal control behaviour: Analysis and modelling based on experimental surveys in Italy and the UK.
    Pariota L, Bifulco GN, Galante F, Montella A, Brackstone M.
    Accid Anal Prev; 2016 Apr; 89():74-87. PubMed ID: 26828955
    [Abstract] [Full Text] [Related]

  • 2. LAVIA--an evaluation of the potential safety benefits of the French intelligent speed adaptation project.
    Driscoll R, Page Y, Lassarre S, Ehrlich J.
    Annu Proc Assoc Adv Automot Med; 2007 Apr; 51():485-505. PubMed ID: 18184509
    [Abstract] [Full Text] [Related]

  • 3. Road safety from the perspective of driver gender and age as related to the injury crash frequency and road scenario.
    Russo F, Biancardo SA, Dell'Acqua G.
    Traffic Inj Prev; 2014 Apr; 15(1):25-33. PubMed ID: 24279963
    [Abstract] [Full Text] [Related]

  • 4. Comparing car drivers' and motorcyclists' opinions about junction crashes.
    Robbins CJ, Allen HA, Chapman P.
    Accid Anal Prev; 2018 Aug; 117():304-317. PubMed ID: 29753219
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. Impact of mobile phone use on car-following behaviour of young drivers.
    Saifuzzaman M, Haque MM, Zheng Z, Washington S.
    Accid Anal Prev; 2015 Sep; 82():10-9. PubMed ID: 26009990
    [Abstract] [Full Text] [Related]

  • 7. Road traffic accidents and self-reported Portuguese car driver's attitudes, behaviors, and opinions: Are they related?
    Bon de Sousa T, Santos C, Mateus C, Areal A, Trigoso J, Nunes C.
    Traffic Inj Prev; 2016 Oct 02; 17(7):705-11. PubMed ID: 26889832
    [Abstract] [Full Text] [Related]

  • 8. 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 Oct 02; 20(sup1):S58-S64. PubMed ID: 31381431
    [Abstract] [Full Text] [Related]

  • 9. Effects of peripheral transverse line markings on drivers' speed and headway choice and crash risk in car-following: A naturalistic observation study.
    Ding N, Zhu S, Jiao N, Liu B.
    Accid Anal Prev; 2020 Oct 02; 146():105701. PubMed ID: 32823033
    [Abstract] [Full Text] [Related]

  • 10. Heavy-truck drivers' following behavior with intervention of an integrated, in-vehicle crash warning system: a field evaluation.
    Bao S, LeBlanc DJ, Sayer JR, Flannagan C.
    Hum Factors; 2012 Oct 02; 54(5):687-97. PubMed ID: 23156615
    [Abstract] [Full Text] [Related]

  • 11. Use of car crashes resulting in fatal and serious injuries to analyze a safe road transport system model and to identify system weaknesses.
    Stigson H, Hill J.
    Traffic Inj Prev; 2009 Oct 02; 10(5):441-50. PubMed ID: 19746308
    [Abstract] [Full Text] [Related]

  • 12. How to identify the key factors that affect driver perception of accident risk. A comparison between Italian and Spanish driver behavior.
    de Oña J, de Oña R, Eboli L, Forciniti C, Mazzulla G.
    Accid Anal Prev; 2014 Dec 02; 73():225-35. PubMed ID: 25247553
    [Abstract] [Full Text] [Related]

  • 13. Critical older driver errors in a national sample of serious U.S. crashes.
    Cicchino JB, McCartt AT.
    Accid Anal Prev; 2015 Jul 02; 80():211-9. PubMed ID: 25916662
    [Abstract] [Full Text] [Related]

  • 14. A taxonomy of driving errors and violations: Evidence from the naturalistic driving study.
    Khattak AJ, Ahmad N, Wali B, Dumbaugh E.
    Accid Anal Prev; 2021 Mar 02; 151():105873. PubMed ID: 33360090
    [Abstract] [Full Text] [Related]

  • 15. Does assisted driving behavior lead to safety-critical encounters with unequipped vehicles' drivers?
    Preuk K, Stemmler E, Schießl C, Jipp M.
    Accid Anal Prev; 2016 Oct 02; 95(Pt A):149-56. PubMed ID: 27442594
    [Abstract] [Full Text] [Related]

  • 16. Analysis of naturalistic driving videos of fleet services drivers to estimate driver error and potentially distracting behaviors as risk factors for rear-end versus angle crashes.
    Harland KK, Carney C, McGehee D.
    Traffic Inj Prev; 2016 Jul 03; 17(5):465-71. PubMed ID: 26760293
    [Abstract] [Full Text] [Related]

  • 17. Impact of heterogeneity of car-following behavior on rear-end crash risk.
    Zhang J, Wang Y, Lu G.
    Accid Anal Prev; 2019 Apr 03; 125():275-289. PubMed ID: 30802778
    [Abstract] [Full Text] [Related]

  • 18. Experiences of model year 2011 Dodge and Jeep owners with collision avoidance and related technologies.
    Cicchino JB, McCartt AT.
    Traffic Inj Prev; 2015 Apr 03; 16():298-303. PubMed ID: 24983299
    [Abstract] [Full Text] [Related]

  • 19. Risk to workers or vehicle damage: What makes drivers slow down in work zones?
    Debnath AK, Haworth N, Blackman R.
    Traffic Inj Prev; 2021 Apr 03; 22(2):177-181. PubMed ID: 33566712
    [Abstract] [Full Text] [Related]

  • 20. Truck drivers' opinion on road safety in Tanzania--a questionnaire study.
    Kircher K, Andersson J.
    Traffic Inj Prev; 2013 Apr 03; 14(1):103-11. PubMed ID: 23259525
    [Abstract] [Full Text] [Related]

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