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

272 related items for PubMed ID: 25687332

  • 1. In-depth analysis of drivers' merging behavior and rear-end crash risks in work zone merging areas.
    Weng J, Xue S, Yang Y, Yan X, Qu X.
    Accid Anal Prev; 2015 Apr; 77():51-61. PubMed ID: 25687332
    [Abstract] [Full Text] [Related]

  • 2. Evaluation of rear-end crash risk at work zone using work zone traffic data.
    Meng Q, Weng J.
    Accid Anal Prev; 2011 Jul; 43(4):1291-300. PubMed ID: 21545857
    [Abstract] [Full Text] [Related]

  • 3. Time-varying mixed logit model for vehicle merging behavior in work zone merging areas.
    Weng J, Du G, Li D, Yu Y.
    Accid Anal Prev; 2018 Aug; 117():328-339. PubMed ID: 29754006
    [Abstract] [Full Text] [Related]

  • 4. Analysis of work zone rear-end crash risk for different vehicle-following patterns.
    Weng J, Meng Q, Yan X.
    Accid Anal Prev; 2014 Nov; 72():449-57. PubMed ID: 25150525
    [Abstract] [Full Text] [Related]

  • 5. A rear-end collision risk assessment model based on drivers' collision avoidance process under influences of cell phone use and gender-A driving simulator based study.
    Li X, Yan X, Wu J, Radwan E, Zhang Y.
    Accid Anal Prev; 2016 Dec; 97():1-18. PubMed ID: 27565040
    [Abstract] [Full Text] [Related]

  • 6. Utilizing UAV video data for in-depth analysis of drivers' crash risk at interchange merging areas.
    Gu X, Abdel-Aty M, Xiang Q, Cai Q, Yuan J.
    Accid Anal Prev; 2019 Feb; 123():159-169. PubMed ID: 30513457
    [Abstract] [Full Text] [Related]

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

  • 8. 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
    [Abstract] [Full Text] [Related]

  • 9. 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
    [Abstract] [Full Text] [Related]

  • 10. Modeling rear-end collisions including the role of driver's visibility and light truck vehicles using a nested logit structure.
    Abdel-Aty M, Abdelwahab H.
    Accid Anal Prev; 2004 May; 36(3):447-56. PubMed ID: 15003590
    [Abstract] [Full Text] [Related]

  • 11. 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; 95(Pt A):149-56. PubMed ID: 27442594
    [Abstract] [Full Text] [Related]

  • 12. 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; 54(5):687-97. PubMed ID: 23156615
    [Abstract] [Full Text] [Related]

  • 13. Investigation on occupant injury severity in rear-end crashes involving trucks as the front vehicle in Beijing area, China.
    Yuan Q, Lu M, Theofilatos A, Li YB.
    Chin J Traumatol; 2017 Feb; 20(1):20-26. PubMed ID: 28162916
    [Abstract] [Full Text] [Related]

  • 14. Comparison of proposed countermeasures for dilemma zone at signalized intersections based on cellular automata simulations.
    Wu Y, Abdel-Aty M, Ding Y, Jia B, Shi Q, Yan X.
    Accid Anal Prev; 2018 Jul; 116():69-78. PubMed ID: 28911878
    [Abstract] [Full Text] [Related]

  • 15. 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; 146():105701. PubMed ID: 32823033
    [Abstract] [Full Text] [Related]

  • 16. Analysis of effects of driver's evasive action time on rear-end collision risk using a driving simulator.
    Shah D, Lee C.
    J Safety Res; 2021 Sep; 78():242-250. PubMed ID: 34399920
    [Abstract] [Full Text] [Related]

  • 17. Proactive crash risk prediction modeling for merging assistance system at interchange merging areas.
    Gu X, Cai Q, Lee J, Xiang Q, Ma Y, Xu X.
    Traffic Inj Prev; 2020 Sep; 21(3):234-240. PubMed ID: 32154738
    [Abstract] [Full Text] [Related]

  • 18. A tree-structured crash surrogate measure for freeways.
    Kuang Y, Qu X, Wang S.
    Accid Anal Prev; 2015 Apr; 77():137-48. PubMed ID: 25710638
    [Abstract] [Full Text] [Related]

  • 19. In-vehicle warnings for work zone and related rear-end collisions: A driving simulator experiment.
    Hang J, Yan X, Li X, Duan K.
    Accid Anal Prev; 2022 Sep; 174():106768. PubMed ID: 35820314
    [Abstract] [Full Text] [Related]

  • 20. Crash probability estimation via quantifying driver hazard perception.
    Li Y, Zheng Y, Wang J, Kodaka K, Li K.
    Accid Anal Prev; 2018 Jul; 116():116-125. PubMed ID: 28595973
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 14.