These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

202 related items for PubMed ID: 32563403

  • 1. Using SHRP2 naturalistic driving data to examine driver speeding behavior.
    Richard CM, Lee J, Atkins R, Brown JL.
    J Safety Res; 2020 Jun; 73():271-281. PubMed ID: 32563403
    [Abstract] [Full Text] [Related]

  • 2. Speeding behavior among teenage drivers during the learner and early independent driving stage: A case study approach.
    Chang CH, Zhu S, Chirles TJ, Weast R, Ji T, Igusa T, Ehsani JP.
    J Safety Res; 2024 Feb; 88():103-110. PubMed ID: 38485353
    [Abstract] [Full Text] [Related]

  • 3. Naturalistic driving analysis of situational, behavioral, and psychosocial determinants of speeding.
    Payyanadan R, Domeyer J, Angell L, Sayer T.
    Accid Anal Prev; 2024 Nov; 207():107751. PubMed ID: 39191065
    [Abstract] [Full Text] [Related]

  • 4.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 7.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 8.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 9. Characteristics of Single Vehicle Crashes with a Teen Driver in South Carolina, 2005-2008.
    Shults RA, Bergen G, Smith TJ, Cook L, Kindelberger J, West B.
    Accid Anal Prev; 2019 Jan; 122():325-331. PubMed ID: 28947072
    [Abstract] [Full Text] [Related]

  • 10. Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining.
    Kong X, Das S, Jha K, Zhang Y.
    Accid Anal Prev; 2020 Sep; 144():105620. PubMed ID: 32570086
    [Abstract] [Full Text] [Related]

  • 11. Characteristics of speeders.
    Williams AF, Kyrychenko SY, Retting RA.
    J Safety Res; 2006 Sep; 37(3):227-32. PubMed ID: 16872632
    [Abstract] [Full Text] [Related]

  • 12.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14. Understanding crashes involving roadway objects with SHRP 2 naturalistic driving study data.
    Hao H, Li YE, Medina A, Gibbons RB, Wang L.
    J Safety Res; 2020 Jun; 73():199-209. PubMed ID: 32563395
    [Abstract] [Full Text] [Related]

  • 15.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 16. 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
    [Abstract] [Full Text] [Related]

  • 17.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19. In-depth analysis of crash contributing factors and potential ADAS interventions among at-risk drivers using the SHRP 2 naturalistic driving study.
    Seacrist T, Maheshwari J, Sarfare S, Chingas G, Thirkill M, Loeb HS.
    Traffic Inj Prev; 2021 Sep; 22(sup1):S68-S73. PubMed ID: 34663136
    [Abstract] [Full Text] [Related]

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

    Page: [Next] [New Search]
    of 11.