285 related articles for article (PubMed ID: 28323449)
1. 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
Traffic Inj Prev; 2017 May; 18(sup1):S71-S78. PubMed ID: 28323449
[TBL] [Abstract][Full Text] [Related]
2. Real-time driver drowsiness feedback improves driver alertness and self-reported driving performance.
Aidman E; Chadunow C; Johnson K; Reece J
Accid Anal Prev; 2015 Aug; 81():8-13. PubMed ID: 25932964
[TBL] [Abstract][Full Text] [Related]
3. The impacts of multiple rest-break periods on commercial truck driver's crash risk.
Chen C; Xie Y
J Safety Res; 2014 Feb; 48():87-93. PubMed ID: 24529096
[TBL] [Abstract][Full Text] [Related]
4. The influence of daily sleep patterns of commercial truck drivers on driving performance.
Chen GX; Fang Y; Guo F; Hanowski RJ
Accid Anal Prev; 2016 Jun; 91():55-63. PubMed ID: 26954762
[TBL] [Abstract][Full Text] [Related]
5. On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers.
Masello L; Sheehan B; Castignani G; Shannon D; Murphy F
Accid Anal Prev; 2023 Apr; 183():106969. PubMed ID: 36696744
[TBL] [Abstract][Full Text] [Related]
6. Associations between heavy-vehicle driver compensation methods, fatigue-related driving behavior, and sleepiness.
Thompson J; Stevenson M
Traffic Inj Prev; 2014; 15 Suppl 1():S10-4. PubMed ID: 25307373
[TBL] [Abstract][Full Text] [Related]
7. Association between commercial vehicle driver at-fault crashes involving sleepiness/fatigue and proximity to rest areas and truck stops.
Bunn TL; Slavova S; Rock PJ
Accid Anal Prev; 2019 May; 126():3-9. PubMed ID: 29174330
[TBL] [Abstract][Full Text] [Related]
8. Evaluating the impact of Heavy Goods Vehicle driver monitoring and coaching to reduce risky behaviour.
Mase JM; Majid S; Mesgarpour M; Torres MT; Figueredo GP; Chapman P
Accid Anal Prev; 2020 Oct; 146():105754. PubMed ID: 32932020
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of an in-vehicle monitoring system (IVMS) to reduce risky driving behaviors in commercial drivers: Comparison of in-cab warning lights and supervisory coaching with videos of driving behavior.
Bell JL; Taylor MA; Chen GX; Kirk RD; Leatherman ER
J Safety Res; 2017 Feb; 60():125-136. PubMed ID: 28160807
[TBL] [Abstract][Full Text] [Related]
10. Naturalistic field study of the restart break in US commercial motor vehicle drivers: Truck driving, sleep, and fatigue.
Sparrow AR; Mollicone DJ; Kan K; Bartels R; Satterfield BC; Riedy SM; Unice A; Van Dongen HPA
Accid Anal Prev; 2016 Aug; 93():55-64. PubMed ID: 27173360
[TBL] [Abstract][Full Text] [Related]
11. Evaluating driver drowsiness countermeasures.
Gaspar JG; Brown TL; Schwarz CW; Lee JD; Kang J; Higgins JS
Traffic Inj Prev; 2017 May; 18(sup1):S58-S63. PubMed ID: 28323444
[TBL] [Abstract][Full Text] [Related]
12. Driving fatigue in professional drivers: a survey of truck and taxi drivers.
Meng F; Li S; Cao L; Li M; Peng Q; Wang C; Zhang W
Traffic Inj Prev; 2015; 16(5):474-83. PubMed ID: 25357206
[TBL] [Abstract][Full Text] [Related]
13. Commercial drivers' health: a naturalistic study of body mass index, fatigue, and involvement in safety-critical events.
Wiegand DM; Hanowski RJ; McDonald SE
Traffic Inj Prev; 2009 Dec; 10(6):573-9. PubMed ID: 19916128
[TBL] [Abstract][Full Text] [Related]
14. Real-world risk exposure in older drivers with cognitive and visual dysfunction.
Merickel J; High R; Dawson J; Rizzo M
Traffic Inj Prev; 2019; 20(sup2):S110-S115. PubMed ID: 31821019
[No Abstract] [Full Text] [Related]
15. Post-trip safety interventions: State-of-the-art, challenges, and practical implications.
Michelaraki E; Katrakazas C; Yannis G; Filtness A; Talbot R; Hancox G; Pilkington-Cheney F; Brijs K; Ross V; Dirix H; Neven A; Paul R; Brijs T; Fortsakis P; Frantzola EK; Taveira R
J Safety Res; 2021 Jun; 77():67-85. PubMed ID: 34092330
[TBL] [Abstract][Full Text] [Related]
16. The impact of heart rate-based drowsiness monitoring on adverse driving events in heavy vehicle drivers under naturalistic conditions.
Wolkow AP; Rajaratnam SMW; Wilkinson V; Shee D; Baker A; Lillington T; Roest P; Marx B; Chew C; Tucker A; Haque S; Schaefer A; Howard ME
Sleep Health; 2020 Jun; 6(3):366-373. PubMed ID: 32340910
[TBL] [Abstract][Full Text] [Related]
17. Temporal separation and self-rating of alertness as indicators of driver fatigue in commercial motor vehicle operators.
Belz SM; Robinson GS; Casali JG
Hum Factors; 2004; 46(1):154-69. PubMed ID: 15151162
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Fatigue management by truck drivers in real life situations: some suggestions to improve training.
Fournier PS; Montreuil S; Brun JP
Work; 2007; 29(3):213-24. PubMed ID: 17942992
[TBL] [Abstract][Full Text] [Related]
20. Driver monitoring systems (DMS): The future of impaired driving management?
Hayley AC; Shiferaw B; Aitken B; Vinckenbosch F; Brown TL; Downey LA
Traffic Inj Prev; 2021; 22(4):313-317. PubMed ID: 33829941
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]