392 related articles for article (PubMed ID: 29087738)
1. Structural equation model analysis for the evaluation of overall driving performance: A driving simulator study focusing on driver distraction.
Papantoniou P
Traffic Inj Prev; 2018 Apr; 19(3):317-325. PubMed ID: 29087738
[TBL] [Abstract][Full Text] [Related]
2. Mild Cognitive Impairment and driving: Does in-vehicle distraction affect driving performance?
Beratis IN; Pavlou D; Papadimitriou E; Andronas N; Kontaxopoulou D; Fragkiadaki S; Yannis G; Papageorgiou SG
Accid Anal Prev; 2017 Jun; 103():148-155. PubMed ID: 28441517
[TBL] [Abstract][Full Text] [Related]
3. Effects of road infrastructure and traffic complexity in speed adaptation behaviour of distracted drivers.
Oviedo-Trespalacios O; Haque MM; King M; Washington S
Accid Anal Prev; 2017 Apr; 101():67-77. PubMed ID: 28189943
[TBL] [Abstract][Full Text] [Related]
4. The role of self-regulation in the context of driver distraction: A simulator study.
Wandtner B; Schumacher M; Schmidt EA
Traffic Inj Prev; 2016 Jul; 17(5):472-9. PubMed ID: 27082493
[TBL] [Abstract][Full Text] [Related]
5. A parametric duration model of the reaction times of drivers distracted by mobile phone conversations.
Haque MM; Washington S
Accid Anal Prev; 2014 Jan; 62():42-53. PubMed ID: 24129320
[TBL] [Abstract][Full Text] [Related]
6. Driving behaviour while self-regulating mobile phone interactions: A human-machine system approach.
Oviedo-Trespalacios O; Haque MM; King M; Demmel S
Accid Anal Prev; 2018 Sep; 118():253-262. PubMed ID: 29653674
[TBL] [Abstract][Full Text] [Related]
7. Self-regulation of driving speed among distracted drivers: An application of driver behavioral adaptation theory.
Oviedo-Trespalacios O; Haque MM; King M; Washington S
Traffic Inj Prev; 2017 Aug; 18(6):599-605. PubMed ID: 28095026
[TBL] [Abstract][Full Text] [Related]
8. What drives technology-based distractions? A structural equation model on social-psychological factors of technology-based driver distraction engagement.
Chen HY; Donmez B
Accid Anal Prev; 2016 Jun; 91():166-74. PubMed ID: 26994371
[TBL] [Abstract][Full Text] [Related]
9. Child passengers and driver culpability in fatal crashes by driver gender.
Maasalo I; Lehtonen E; Pekkanen J; Summala H
Traffic Inj Prev; 2016 Jul; 17(5):447-53. PubMed ID: 26507116
[TBL] [Abstract][Full Text] [Related]
10. Characteristics of driver cell phone use and their influence on driving performance: A naturalistic driving study.
Wang X; Xu R; Asmelash A; Xing Y; Lee C
Accid Anal Prev; 2020 Dec; 148():105845. PubMed ID: 33120181
[TBL] [Abstract][Full Text] [Related]
11. Post and during event effect of cell phone talking and texting on driving performance--a driving simulator study.
Thapa R; Codjoe J; Ishak S; McCarter KS
Traffic Inj Prev; 2015; 16(5):461-7. PubMed ID: 25288040
[TBL] [Abstract][Full Text] [Related]
12. Decisions and actions of distracted drivers at the onset of yellow lights.
Haque MM; Ohlhauser AD; Washington S; Boyle LN
Accid Anal Prev; 2016 Nov; 96():290-299. PubMed ID: 25891775
[TBL] [Abstract][Full Text] [Related]
13. An investigation on the risk factors associated with driving errors under the influence of alcohol using structural equation modeling.
Yadav AK; Velaga NR
Traffic Inj Prev; 2020; 21(4):288-294. PubMed ID: 32364839
[No Abstract] [Full Text] [Related]
14. Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving.
Zeeb K; Buchner A; Schrauf M
Accid Anal Prev; 2016 Jul; 92():230-9. PubMed ID: 27107472
[TBL] [Abstract][Full Text] [Related]
15. Good distractions: Testing the effects of listening to an audiobook on driving performance in simple and complex road environments.
Nowosielski RJ; Trick LM; Toxopeus R
Accid Anal Prev; 2018 Feb; 111():202-209. PubMed ID: 29223795
[TBL] [Abstract][Full Text] [Related]
16. Driving while conversing: cell phones that distract and passengers who react.
Charlton SG
Accid Anal Prev; 2009 Jan; 41(1):160-73. PubMed ID: 19114151
[TBL] [Abstract][Full Text] [Related]
17. Impact of mobile phone use on car-following behaviour of young drivers.
Saifuzzaman M; Haque MM; Zheng Z; Washington S
Accid Anal Prev; 2015 Sep; 82():10-9. PubMed ID: 26009990
[TBL] [Abstract][Full Text] [Related]
18. Modelling braking behaviour of distracted young drivers in car-following interactions: A grouped random parameters duration model with heterogeneity-in-means.
Ali Y; Haque MM
Accid Anal Prev; 2023 Jun; 185():107015. PubMed ID: 36889237
[TBL] [Abstract][Full Text] [Related]
19. Driver distraction and in-vehicle interventions: A driving simulator study on visual attention and driving performance.
Ezzati Amini R; Al Haddad C; Batabyal D; Gkena I; De Vos B; Cuenen A; Brijs T; Antoniou C
Accid Anal Prev; 2023 Oct; 191():107195. PubMed ID: 37441985
[TBL] [Abstract][Full Text] [Related]
20. Mobile phone conversation distraction: Understanding differences in impact between simulator and naturalistic driving studies.
Wijayaratna KP; Cunningham ML; Regan MA; Jian S; Chand S; Dixit VV
Accid Anal Prev; 2019 Aug; 129():108-118. PubMed ID: 31150917
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
