Similar articles for PMID: 25932964

Year	Number of Results
1948	1
1957	1
1958	1
1976	1
1986	1
1987	1
1990	1
1991	1
1994	2
1995	3
1996	1
1997	10
1998	2
1999	5
2000	1
2001	2
2002	1
2003	2
2004	3
2005	4
2006	5
2007	5
2008	7
2009	6
2010	3
2011	12
2012	16
2013	15
2014	20
2015	33
2016	25
2017	27
2018	31
2019	31
2020	25
2021	29
2022	24
2023	9
2024	0

1

Real-time driver drowsiness feedback improves driver alertness and self-reported driving performance.

Aidman E, Chadunow C, Johnson K, Reece J. Aidman E, et al. Accid Anal Prev. 2015 Aug;81:8-13. doi: 10.1016/j.aap.2015.03.041. Epub 2015 Apr 29. Accid Anal Prev. 2015. PMID: 25932964 Free article.

2

The utility of automated measures of ocular metrics for detecting driver drowsiness during extended wakefulness.

Jackson ML, Kennedy GA, Clarke C, Gullo M, Swann P, Downey LA, Hayley AC, Pierce RJ, Howard ME. Jackson ML, et al. Accid Anal Prev. 2016 Feb;87:127-33. doi: 10.1016/j.aap.2015.11.033. Epub 2015 Dec 10. Accid Anal Prev. 2016. PMID: 26687538

3

The relative importance of real-time in-cab and external feedback in managing fatigue in real-world commercial transport operations.

Fitzharris M, Liu S, Stephens AN, Lenné MG. Fitzharris M, et al. Traffic Inj Prev. 2017 May 29;18(sup1):S71-S78. doi: 10.1080/15389588.2017.1306855. Epub 2017 Mar 21. Traffic Inj Prev. 2017. PMID: 28323449

4

High risk of near-crash driving events following night-shift work.

Lee ML, Howard ME, Horrey WJ, Liang Y, Anderson C, Shreeve MS, O'Brien CS, Czeisler CA. Lee ML, et al. Proc Natl Acad Sci U S A. 2016 Jan 5;113(1):176-81. doi: 10.1073/pnas.1510383112. Epub 2015 Dec 22. Proc Natl Acad Sci U S A. 2016. PMID: 26699470 Free PMC article.

5

Can variations in visual behavior measures be good predictors of driver sleepiness? A real driving test study.

Wang Y, Xin M, Bai H, Zhao Y. Wang Y, et al. Traffic Inj Prev. 2017 Feb 17;18(2):132-138. doi: 10.1080/15389588.2016.1203425. Epub 2016 Oct 20. Traffic Inj Prev. 2017. PMID: 27763776

6

Evaluating driver drowsiness countermeasures.

Gaspar JG, Brown TL, Schwarz CW, Lee JD, Kang J, Higgins JS. Gaspar JG, et al. Traffic Inj Prev. 2017 May 29;18(sup1):S58-S63. doi: 10.1080/15389588.2017.1303140. Epub 2017 Mar 21. Traffic Inj Prev. 2017. PMID: 28323444 Clinical Trial.

7

Preventing drowsiness accidents by an alertness maintenance device.

Verwey WB, Zaidel DM. Verwey WB, et al. Accid Anal Prev. 1999 May;31(3):199-211. doi: 10.1016/s0001-4575(98)00062-1. Accid Anal Prev. 1999. PMID: 10196596 Clinical Trial.

8

Predicting drowsy driving in real-time situations: Using an advanced driving simulator, accelerated failure time model, and virtual location-based services.

Wang J, Sun S, Fang S, Fu T, Stipancic J. Wang J, et al. Accid Anal Prev. 2017 Feb;99(Pt A):321-329. doi: 10.1016/j.aap.2016.12.014. Epub 2016 Dec 27. Accid Anal Prev. 2017. PMID: 28038346

9

Predicting driver drowsiness using vehicle measures: recent insights and future challenges.

Liu CC, Hosking SG, Lenné MG. Liu CC, et al. J Safety Res. 2009;40(4):239-45. doi: 10.1016/j.jsr.2009.04.005. Epub 2009 Jul 14. J Safety Res. 2009. PMID: 19778647 Review.

10

The effects of brief visual interruption tasks on drivers' ability to resume their visual search for a pre-cued hazard.

Borowsky A, Horrey WJ, Liang Y, Garabet A, Simmons L, Fisher DL. Borowsky A, et al. Accid Anal Prev. 2016 Aug;93:207-216. doi: 10.1016/j.aap.2016.04.028. Epub 2016 May 19. Accid Anal Prev. 2016. PMID: 27209155 Clinical Trial.

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