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 *

592 related articles for article (PubMed ID: 28499141)

  • 21. 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]  

  • 22. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving.
    Khandakar A; Chowdhury MEH; Ahmed R; Dhib A; Mohammed M; Al-Emadi NAMA; Michelson D
    Sensors (Basel); 2019 Mar; 19(7):. PubMed ID: 30935150
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Effects of safety measures on driver's speed behavior at pedestrian crossings.
    Bella F; Silvestri M
    Accid Anal Prev; 2015 Oct; 83():111-24. PubMed ID: 26253423
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Prediction of vehicle crashes by drivers' characteristics and past traffic violations in Korea using a zero-inflated negative binomial model.
    Kim DH; Ramjan LM; Mak KK
    Traffic Inj Prev; 2016; 17(1):86-90. PubMed ID: 26043956
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Assessing safety critical driving patterns of heavy passenger vehicle drivers using instrumented vehicle data - An unsupervised approach.
    Yarlagadda J; Jain P; Pawar DS
    Accid Anal Prev; 2021 Dec; 163():106464. PubMed ID: 34735888
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Young females at risk while driving with a small child.
    Maasalo I; Lehtonen E; Summala H
    Accid Anal Prev; 2017 Nov; 108():321-331. PubMed ID: 28942042
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Analysis of driver characteristics, self-reported psychology measures and driving performance measures associated with aggressive driving.
    Hassan A; Lee C; Cramer K; Lafreniere K
    Accid Anal Prev; 2023 Aug; 188():107097. PubMed ID: 37163853
    [TBL] [Abstract][Full Text] [Related]  

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

  • 33. Age and gender differences in time to collision at braking from the 100-Car Naturalistic Driving Study.
    Montgomery J; Kusano KD; Gabler HC
    Traffic Inj Prev; 2014; 15 Suppl 1():S15-20. PubMed ID: 25307380
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Modeling drivers' reaction when being tailgated: A Random Forests Method.
    Xu Y; Bao S; Pradhan AK
    J Safety Res; 2021 Sep; 78():28-35. PubMed ID: 34399925
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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; 127():118-133. PubMed ID: 30851563
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Identification of common features of vehicle motion under drowsy/distracted driving: A case study in Wuhan, China.
    Chen Z; Wu C; Zhong M; Lyu N; Huang Z
    Accid Anal Prev; 2015 Aug; 81():251-9. PubMed ID: 25846494
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Effect of exposure to aggressive stimuli on aggressive driving behavior at pedestrian crossings at unmarked roadways.
    Chai J; Zhao G
    Accid Anal Prev; 2016 Mar; 88():159-68. PubMed ID: 26774041
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. 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
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 30.