A comprehensive systematic review of the laboratory-based research investigating the influence of alcohol on driving behaviour
In the past thirty years, alcohol influence on drivers has been widely researched using
driving simulators across the world. However, a critical evaluation of the existing evidence is …
driving simulators across the world. However, a critical evaluation of the existing evidence is …
Driver monitoring systems (DMS): The future of impaired driving management?
Objective Driver monitoring systems (DMS) are the next generation of vehicle safety
technology. Broadly, these refer to the embedded, aftermarket wearable or vehicle-mounted …
technology. Broadly, these refer to the embedded, aftermarket wearable or vehicle-mounted …
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving
Excessive alcohol consumption causes disability and death. Digital interventions are
promising means to promote behavioral change and thus prevent alcohol-related harm …
promising means to promote behavioral change and thus prevent alcohol-related harm …
Inferring native and non-native human reading comprehension and subjective text difficulty from scanpaths in reading
Eye movements in reading are known to reflect cognitive processes involved in reading
comprehension at all linguistic levels, from the sub-lexical to the discourse level. This means …
comprehension at all linguistic levels, from the sub-lexical to the discourse level. This means …
Multimodal driver state modeling through unsupervised learning
A Tavakoli, A Heydarian - Accident Analysis & Prevention, 2022 - Elsevier
Naturalistic driving data (NDD) can help understand drivers' reactions to each driving
scenario and provide personalized context to driving behavior. However, NDD requires a …
scenario and provide personalized context to driving behavior. However, NDD requires a …
Modelling brake transition time of young alcohol-impaired drivers using hazard-based duration models
Braking performance of drivers is a crucial factor in evaluating the collision patterns and
implementing road safety measures. Further, alcohol is known to impair driving control. The …
implementing road safety measures. Further, alcohol is known to impair driving control. The …
[HTML][HTML] Improving cognitive-state analysis from eye gaze with synthetic eye-movement data
Eye movements can be used to analyze a viewer's cognitive capacities or mental state.
Neural networks that process the raw eye-tracking signal can outperform methods that …
Neural networks that process the raw eye-tracking signal can outperform methods that …
Effect of CannEpil® on simulated driving performance and co-monitoring of ocular activity: A randomised controlled trial
Background: Medicinal cannabis products containing Δ9-tetrahydrocannabinol (THC) are
increasingly accessible. Yet, policy guidelines regarding fitness to drive are lacking, and …
increasingly accessible. Yet, policy guidelines regarding fitness to drive are lacking, and …
Behavioral research and practical models of drivers' attention
I Kotseruba, JK Tsotsos - arXiv preprint arXiv:2104.05677, 2021 - arxiv.org
Driving is a routine activity for many, but it is far from simple. Drivers deal with multiple
concurrent tasks, such as keeping the vehicle in the lane, observing and anticipating the …
concurrent tasks, such as keeping the vehicle in the lane, observing and anticipating the …
[HTML][HTML] Driving impairment and altered ocular activity under the effects of alprazolam and alcohol: A randomized, double-blind, placebo-controlled study
Background Alprazolam, also known by trade-name Xanax, is regularly detected along with
alcohol in blood samples of drivers injured or killed in traffic collisions. While their co …
alcohol in blood samples of drivers injured or killed in traffic collisions. While their co …