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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 35103055)

  • 1. An Individual Driving Behavior Portrait Approach for Professional Driver of HDVs with Naturalistic Driving Data.
    He Y; Yang S; Zhou X; Lu XY
    Comput Intell Neurosci; 2022; 2022():3970571. PubMed ID: 35103055
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Revision of the driver behavior questionnaire for Chinese drivers' aberrant driving behaviors using naturalistic driving data.
    Jiao Y; Wang X; Hurwitz D; Hu G; Xu X; Zhao X
    Accid Anal Prev; 2023 Jul; 187():107065. PubMed ID: 37167077
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Assessing the relationship between self-reported driving behaviors and driver risk using a naturalistic driving study.
    Wang X; Xu X
    Accid Anal Prev; 2019 Jul; 128():8-16. PubMed ID: 30954785
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Examination of drivers' cell phone use behavior at intersections by using naturalistic driving data.
    Xiong H; Bao S; Sayer J; Kato K
    J Safety Res; 2015 Sep; 54():89-93. PubMed ID: 26403907
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantifying visual road environment to establish a speeding prediction model: An examination using naturalistic driving data.
    Yu B; Chen Y; Bao S
    Accid Anal Prev; 2019 Aug; 129():289-298. PubMed ID: 31177040
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver's driving styles.
    Ma Z; Zhang Y
    Accid Anal Prev; 2021 Sep; 159():106238. PubMed ID: 34182321
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data.
    Feng F; Bao S; Sayer JR; Flannagan C; Manser M; Wunderlich R
    Accid Anal Prev; 2017 Jul; 104():125-136. PubMed ID: 28499141
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of cooperative systems on driver behavior in heavy fog condition based on a driving simulator.
    Chang X; Li H; Qin L; Rong J; Lu Y; Chen X
    Accid Anal Prev; 2019 Jul; 128():197-205. PubMed ID: 31054492
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unusual Driver Behavior Detection in Videos Using Deep Learning Models.
    Abosaq HA; Ramzan M; Althobiani F; Abid A; Aamir KM; Abdushkour H; Irfan M; Gommosani ME; Ghonaim SM; Shamji VR; Rahman S
    Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616911
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The mediating effect of driver characteristics on risky driving behaviors moderated by gender, and the classification model of driver's driving risk.
    Song X; Yin Y; Cao H; Zhao S; Li M; Yi B
    Accid Anal Prev; 2021 Apr; 153():106038. PubMed ID: 33631705
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multimodal driver state modeling through unsupervised learning.
    Tavakoli A; Heydarian A
    Accid Anal Prev; 2022 Jun; 170():106640. PubMed ID: 35339879
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Driver's views and behaviors about safety in China--what do they NOT know about driving?
    Zhang W; Huang YH; Roetting M; Wang Y; Wei H
    Accid Anal Prev; 2006 Jan; 38(1):22-7. PubMed ID: 16061188
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effects of major-road vehicle speed and driver age and gender on left-turn gap acceptance.
    Yan X; Radwan E; Guo D
    Accid Anal Prev; 2007 Jul; 39(4):843-52. PubMed ID: 17239808
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Teen drivers' awareness of vehicle instrumentation in naturalistic research.
    Ehsani JP; Haynie D; Ouimet MC; Zhu C; Guillaume C; Klauer SG; Dingus T; Simons-Morton BG
    J Safety Res; 2017 Dec; 63():127-134. PubMed ID: 29203010
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Distracted driver behaviors and distracting conditions among adolescent drivers: findings from a naturalistic driving study.
    Foss RD; Goodwin AH
    J Adolesc Health; 2014 May; 54(5 Suppl):S50-60. PubMed ID: 24759441
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis.
    Wang J; Huang H; Li Y; Zhou H; Liu J; Xu Q
    Accid Anal Prev; 2020 Sep; 145():105680. PubMed ID: 32707185
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Are child occupants a significant source of driving distraction?
    Koppel S; Charlton J; Kopinathan C; Taranto D
    Accid Anal Prev; 2011 May; 43(3):1236-44. PubMed ID: 21376923
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.