Real-time monitoring of driver distraction: State-of-the-art and future insights

E Michelaraki, C Katrakazas, S Kaiser, T Brijs… - Accident Analysis & …, 2023 - Elsevier
Driver distraction and inattention have been found to be major contributors to a large
number of serious road crashes. It is evident that distraction reduces to a great extent driver …

Smartphones vs. in-vehicle data acquisition systems as tools for naturalistic driving studies: a comparative review

E Grimberg, A Botzer, O Musicant - Safety science, 2020 - Elsevier
Naturalistic driving studies (NDS) are increasingly being used to investigate driver on-road
behavior. In parallel, smartphones are gaining interest as data acquisition systems (DAS) in …

Understanding the drowsy driving crash patterns from correspondence regression analysis

MA Rahman, S Das, X Sun - Journal of safety research, 2023 - Elsevier
Abstract: Drowsy driving-related crashes have been a key concern in transportation safety.
In Louisiana, 14%(1,758 out of 12,512) of police-reported drowsy driving-related crashes …

[HTML][HTML] Do driver monitoring technologies improve the driving behaviour of distracted drivers? A simulation study to assess the impact of an auditory driver distraction …

M Bassani, L Catani, A Hazoor, A Hoxha, A Lioi… - … research part F: traffic …, 2023 - Elsevier
Being distracted while driving is a major cause of road crashes. To help prevent this
particular type of crash, new driver monitoring technologies track ocular and head …

The detection of drowsiness using a driver monitoring system

C Schwarz, J Gaspar, T Miller… - Traffic injury …, 2019 - Taylor & Francis
Objective: Drowsiness is a major cause of driver impairment leading to crashes and
fatalities. Research has established the ability to detect drowsiness with various kinds of …

[HTML][HTML] On-road driving impairment following sleep deprivation differs according to age

AWT Cai, JE Manousakis, B Singh, J Kuo, KJ Jeppe… - Scientific reports, 2021 - nature.com
Impaired driving performance due to sleep loss is a major contributor to motor-vehicle
crashes, fatalities, and serious injuries. As on-road, fully-instrumented studies of drowsy …

Human‐like interactive behavior generation for autonomous vehicles: a bayesian game‐theoretic approach with turing test

Y Zhang, P Hang, C Huang, C Lv - Advanced Intelligent …, 2022 - Wiley Online Library
Interacting with surrounding road users is a key feature of autonomous vehicles and is
critical for their intelligence testing. Existing interaction modalities in autonomous vehicle …

EEG and behavioural correlates of mild sleep deprivation and vigilance

A Gibbings, LB Ray, N Berberian, T Nguyen… - Clinical …, 2021 - Elsevier
Objective The current study investigated the behavioral, cognitive, and electrophysiological
impact of mild (only a few hours) and acute (one night) sleep loss via simultaneously …

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] The role of ADAS while driving in complex road contexts: support or overload for drivers?

G Bosurgi, O Pellegrino, A Ruggeri, G Sollazzo - Sustainability, 2023 - mdpi.com
The possibility of using some warnings inside modern vehicles should be an aid to driving
activity. However, the information transferred to users is not always received in the expected …