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6. Visual Sensory and Visual-Cognitive Function and Rate of Crash and Near-Crash Involvement Among Older Drivers Using Naturalistic Driving Data. Huisingh C; Levitan EB; Irvin MR; MacLennan P; Wadley V; Owsley C Invest Ophthalmol Vis Sci; 2017 Jun; 58(7):2959-2967. PubMed ID: 28605807 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Towards unpacking older drivers' visual-motor coordination: A gaze-based integrated driving assessment. Sun QC; Xia JC; He J; Foster J; Falkmer T; Lee H Accid Anal Prev; 2018 Apr; 113():85-96. PubMed ID: 29407672 [TBL] [Abstract][Full Text] [Related]
9. Analysis of drivers' deceleration behavior based on naturalistic driving data. Li S; Li P; Yao Y; Han X; Xu Y; Chen L Traffic Inj Prev; 2020; 21(1):42-47. PubMed ID: 31986072 [No Abstract] [Full Text] [Related]
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13. A prospective, population-based study of the role of visual impairment in motor vehicle crashes among older drivers: the SEE study. Rubin GS; Ng ES; Bandeen-Roche K; Keyl PM; Freeman EE; West SK Invest Ophthalmol Vis Sci; 2007 Apr; 48(4):1483-91. PubMed ID: 17389475 [TBL] [Abstract][Full Text] [Related]
14. Behind the Wheel: Predictors of Driving Exposure in Older Drivers. Coxon K; Chevalier A; Lo S; Ivers R; Brown J; Keay L J Am Geriatr Soc; 2015 Jun; 63(6):1137-45. PubMed ID: 26032090 [TBL] [Abstract][Full Text] [Related]
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