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Journal Abstract Search
766 related items for PubMed ID: 26760293
1. Analysis of naturalistic driving videos of fleet services drivers to estimate driver error and potentially distracting behaviors as risk factors for rear-end versus angle crashes. Harland KK, Carney C, McGehee D. Traffic Inj Prev; 2016 Jul 03; 17(5):465-71. PubMed ID: 26760293 [Abstract] [Full Text] [Related]
2. Using event-triggered naturalistic data to examine the prevalence of teen driver distractions in rear-end crashes. Carney C, Harland KK, McGehee DV. J Safety Res; 2016 Jun 03; 57():47-52. PubMed ID: 27178079 [Abstract] [Full Text] [Related]
6. Using naturalistic driving study data to investigate the impact of driver distraction on driver's brake reaction time in freeway rear-end events in car-following situation. Gao J, Davis GA. J Safety Res; 2017 Dec 03; 63():195-204. PubMed ID: 29203019 [Abstract] [Full Text] [Related]
8. The effects of age on crash risk associated with driver distraction. Guo F, Klauer SG, Fang Y, Hankey JM, Antin JF, Perez MA, Lee SE, Dingus TA. Int J Epidemiol; 2017 Feb 01; 46(1):258-265. PubMed ID: 28338711 [Abstract] [Full Text] [Related]
13. The role of off-path glances: A quantitative analysis of rear-end conflicts involving Chinese professional truck drivers as the striking partners. Pipkorn L, Bianchi Piccinini G. J Safety Res; 2020 Feb 01; 72():259-266. PubMed ID: 32199571 [Abstract] [Full Text] [Related]