Critical review on data-driven approaches for learning from accidents: comparative analysis and future research

Y Niu, Y Fan, X Ju - Safety science, 2024 - Elsevier
Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

A Review of Intelligent Systems for Driving Risk Assessment

JM Mase, P Chapman… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Driving risk assessment is important to guide the actions, states and behaviours of drivers for
the prevention of road incidents or accidents. With the widespread of sensors constantly …

Real-time fatigue driving detection system based on multi-module fusion

H Jia, Z Xiao, P Ji - Computers & Graphics, 2022 - Elsevier
Fatigue driving is an important cause of traffic accidents, so it is particularly important to
achieve effective fatigue driving detection. The current fatigue driving detection algorithm …

Towards a new approach to detect sleepiness: Validation of the objective sleepiness scale under simulated driving conditions

C Giot, M Hay, C Chesneau, E Pigeon… - … research part F: traffic …, 2022 - Elsevier
Abstract The Objective Sleepiness Scale (OSS) was developed to detect and quantify
sleepiness on the basis of two direct and reliable sleepiness indicators: EEG and EOG. The …

Wearable technology for smart manufacturing in industry 5.0

T Nguyen, KD Tran, A Raza, QT Nguyen… - Artificial Intelligence for …, 2023 - Springer
The innovation of wearable Internet of Things devices has fuelled the transition from Industry
4.0 to Industry 5.0. Increasing resource efficiency, safety, and economic efficiency are some …

More than just “stressful”? Testing the mediating role of fatigue on the relationship between job stress and occupational crashes of long-haul truck drivers

SA Useche, F Alonso, B Cendales… - … research and behavior …, 2021 - Taylor & Francis
Introduction Recent evidence consistently highlights the adverse work environment of long-
haul professional drivers, whose task structure typically involves the performance of …

Investigation of factors associated with heavy vehicle crashes in Iran (Tehran–Qazvin Freeway)

AT Kashani, K Zandi, A Okabe - Sustainability, 2023 - mdpi.com
With the growing demand for transportation and cargo between cities, the proportion of
heavy vehicles in freeway traffic has been increasing in Iran and worldwide during the past …

[PDF][PDF] 重载货车驾驶人驾驶风格识别与量化研究

覃文文, 鄢祺阳, 谷金晶, 李武, 戢晓峰 - 交通运输系统工程与信息, 2022 - researchgate.net
重载货车驾驶人的激进驾驶风格具有强烈的习惯性特征和风险性特征, 一旦养成很难矫正,
且极易诱发交通事故. 针对现有研究极少关注重载货车驾驶人驾驶风格的不足 …

Qualitatively and quantitatively explore injury severity of light motor vehicle drivers involved in heavy goods vehicle crashes

F Wei, P Xu, Y Guo, Z Wang - Transportation Letters, 2024 - Taylor & Francis
Crashes involving heavy goods trucks (HGVs) are of significant concern as it poses a higher
risk of fatality to light motor vehicles (LMVs). The study constructs three Deep Forest models …

Recognition and interpretation of aggressive driving behavior for heavy‐duty vehicles based on artificial neural network and SHAP

C Cheng, S Chen, Y Ma, AJ Khattak… - Human Factors and …, 2024 - Wiley Online Library
Aggressive driving significantly impacts traffic safety, and heavy‐duty vehicle drivers are
more liable for causing serious crashes. This paper analyzes drivers' aggressive driving …