On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning

Z Halim, M Rehan - Information Fusion, 2020 - Elsevier
Driving an automobile under high stress level reduces driver's control on vehicle and risk-
assessment capabilities, often resulting in road accidents. Driver's anxiety therefore is a key …

The reaction times of drivers aged 20 to 80 during a divided attention driving

M Svetina - Traffic injury prevention, 2016 - Taylor & Francis
Objective: Many studies addressing age-related changes in driving performance focus on
comparing young vs. older drivers, which might lead to the biased conclusion that driving …

Investigating interactions among vital variables affecting situation awareness based on Fuzzy DEMATEL method

I Mohammadfam, MM Aliabadi, AR Soltanian… - International Journal of …, 2019 - Elsevier
In many accident reports, failure in situation awareness is mentioned as one of the
immediate causes of those accidents. Accordingly, the identification of variables affecting …

Analysis of commercial truck drivers' potentially dangerous driving behaviors based on 11-month digital tachograph data and multilevel modeling approach

T Zhou, J Zhang - Accident Analysis & Prevention, 2019 - Elsevier
This study analyzed the potentially dangerous driving behaviors of commercial truck drivers
from both macro and micro perspectives. The analysis was based on digital tachograph data …

Detection of driver cognitive distraction: A comparison study of stop-controlled intersection and speed-limited highway

Y Liao, SE Li, W Wang, Y Wang, G Li… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Driver distraction has been identified as one major cause of unsafe driving. The existing
studies on cognitive distraction detection mainly focused on high-speed driving situations …

[HTML][HTML] A generic multi-level framework for microscopic traffic simulation—Theory and an example case in modelling driver distraction

JWC Van Lint, SC Calvert - Transportation Research Part B …, 2018 - Elsevier
Incorporation of more sophisticated human factors (HF) in mathematical models for driving
behavior has become an increasingly popular and important research direction in the last …

Investigating the impact of environmental and temporal features on mobile phone distracted driving behavior using phone use data

Y Peng, G Song, M Guo, L Wu, L Yu - Accident Analysis & Prevention, 2023 - Elsevier
Mobile phone distracted driving (MPDD) is one of the most significant and common factors in
distraction-affected crashes. In previous studies, MPDD has been described as a self …

Review of Studies on Older Drivers' Behavior and Stress—Methods, Results, and Outlook

Y Zhao, T Yamamoto - Sensors, 2021 - mdpi.com
This paper presents a review on relevant studies and reports related to older drivers'
behavior and stress. Questionnaires, simulators, and on-road/in-vehicle systems are used to …

The effects of social interactions with in-vehicle agents on a driver's anger level, driving performance, situation awareness, and perceived workload

M Jeon, BN Walker, TM Gable - Applied ergonomics, 2015 - Elsevier
Research has suggested that interaction with an in-vehicle software agent can improve a
driver's psychological state and increase road safety. The present study explored the …

Difficulties experienced by older drivers during their regular driving and their expectations towards Advanced Driving Aid Systems and vehicle automation

T Bellet, JC Paris, C Marin-Lamellet - Transportation research part F: traffic …, 2018 - Elsevier
The aim of this study was to analyse the difficulties experienced by older drivers during their
regular driving, and to identify their needs and their expectations regarding Advanced …