Driver distraction and inattention in fatal and injury crashes: Findings from in-depth road crash data

Driving impairment due to psychoactive substances and attention deficit disorder: A pilot study

“…In this regard, Sundfør et al [ 43 ] observed that the main forms of inattention possibly contributing to a greater risk of fatal crashes are failure to check behind sight obstructions and distraction by the use of phones. Road crashes due to inattention are most frequently multiple-vehicle crashes and usually occur as turn/angle or rear-end collisions [ 44 ]. Thus, considering the abovementioned data widely reported in the literature, the results of our study reiterate the significant correlation between inattention and road traffic crashes; nonetheless, our different methodological approach, based on the employment of the CPT-3 in DUI subjects, suggests the possibility of implementing specific psychopathological tests (such as the CPT-3) in driver's license issuance/reinstatement processes as a screening method to identify individuals at higher risk of causing collisions.…”

The effects of cannabidiol on subjective states, cognition, and psychomotor function in healthy adults: A randomized clinical trial

“…A recent study of drivers in the Washington, DC metro found that 78% of all crashes in a 1‐year period were due to driver inattention [69]. Studies conducted in Australia found that >30% of all fatal and injurious crashes in that country were due to driver inattention [70]. Given that hypo‐vigilance is already problematic for drivers, this issue could intensify as hemp‐derived products, such as CBD, become more ubiquitous among the driving population.…”

Distraction in road traffic: How Czech media covers the issue

“…The taxonomy of driver inattention developed by Regan et al [ 7 ] defines five subtypes of inattention: Restricted (DRA); Misprioritized (DMA); Neglected (DNA); Cursory (DCA); and Diverted Attention (distraction, DDA). Beanland et al [ 8 ] and Wundersitz [ 9 ] modified the methodology based on their application of this taxonomy on crash data. They proposed a new category, Unspecified/Undifferentiated (U) for the cases where the classification was not apparent.…”