A comprehensive systematic review of the laboratory-based research investigating the influence of alcohol on driving behaviour

AK Yadav, NR Velaga - Transportation research part F: traffic psychology …, 2021 - Elsevier
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 …

Driver monitoring systems (DMS): The future of impaired driving management?

AC Hayley, B Shiferaw, B Aitken… - Traffic injury …, 2021 - Taylor & Francis
Objective Driver monitoring systems (DMS) are the next generation of vehicle safety
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

K Koch, M Maritsch, E Van Weenen… - Proceedings of the …, 2023 - dl.acm.org
Excessive alcohol consumption causes disability and death. Digital interventions are
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

DR Reich, P Prasse, C Tschirner, P Haller… - 2022 Symposium on …, 2022 - dl.acm.org
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 …

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 …

Modelling brake transition time of young alcohol-impaired drivers using hazard-based duration models

AK Yadav, NR Velaga - Accident Analysis & Prevention, 2021 - Elsevier
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 …

[HTML][HTML] Improving cognitive-state analysis from eye gaze with synthetic eye-movement data

P Prasse, DR Reich, S Makowski, T Scheffer… - Computers & …, 2024 - Elsevier
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 …

Effect of CannEpil® on simulated driving performance and co-monitoring of ocular activity: A randomised controlled trial

B Manning, AC Hayley, S Catchlove… - Journal of …, 2023 - journals.sagepub.com
Background: Medicinal cannabis products containing Δ9-tetrahydrocannabinol (THC) are
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 …

[HTML][HTML] Driving impairment and altered ocular activity under the effects of alprazolam and alcohol: A randomized, double-blind, placebo-controlled study

B Aitken, AC Hayley, TC Ford, L Geier… - Drug and alcohol …, 2023 - Elsevier
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 …