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Published in 2019 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2019.100091
Abstract: Abstract Previous research has shown that the determinants of perceived and observed aggressive driving behavior may differ. However, the consideration of major sources of aggressive patterns may introduce additional variations in the effect of such…
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Keywords:
observed aggressive;
driver fatigue;
aggressive driving;
behavior ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2986234
Abstract: In this paper, a vision-based physiological signal measurement system is proposed to instantly measure driver fatigue. A remote photoplethysmography (rPPG) signal is a type of physiological signal measured by a camera without any contact device,…
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Keywords:
fatigue;
measurement system;
system;
driver fatigue ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3108561
Abstract: With driver fatigue continues to cause serious and deadly car and motorcycles accidents, the need for automatically recognizing driver fatigue and alerting the drivers is apparent. Although various approaches that explore physiological and physical factors…
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Keywords:
fatigue;
fatigue level;
prediction;
driver fatigue ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3167470
Abstract: Globally, 14%–20% of road accidents are mainly due to driver fatigue, the causes of which are instance sickness, travelling for long distance, boredom as a result of driving along the same route consistently, lack of…
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Keywords:
driver fatigue;
inline formula;
tex math;
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Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3053096
Abstract: Driver fatigue and distraction are major road safety issues globally; developing driver state detection and warning technology to help reduce impairment-related incidents is a promising approach. The aim of this case study was to design…
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Keywords:
driver;
warning system;
design;
driver fatigue ... See more keywords
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Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3347439
Abstract: Fatigue driving has been regarded as one of the most important factors that cause traffic accidents. This paper proposes a robust human-machine shared control strategy to improve the vehicle performance for different driver fatigue states.…
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Keywords:
fatigue;
human machine;
driver fatigue;
machine shared ... See more keywords
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Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3540895
Abstract: Driver fatigue detection is a critical challenge in Transportation Cyber-Physical Systems (T-CPS), where existing methods often face significant limitations. Conventional approaches typically struggle with issues such as limited accuracy, slow convergence, and high computational costs.…
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Keywords:
physical systems;
transportation cyber;
cyber physical;
driver fatigue ... See more keywords
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Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3267114
Abstract: Objective: The driver fatigue detection using multi-channel electroencephalography (EEG) has been extensively addressed in the literature. However, the employment of a single prefrontal EEG channel should be prioritized as it provides users with more comfort.…
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Keywords:
fatigue;
driver fatigue;
eye blink;
detection ... See more keywords
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Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2956022
Abstract: Driver fatigue detection is of great significance for guaranteeing traffic safety and further reducing economic as well as societal loss. In this article, a novel complex network (CN) based broad learning system (CNBLS) is proposed…
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Keywords:
broad learning;
driver fatigue;
eeg signals;
learning system ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3130152
Abstract: In the field of advanced driver assistance systems (ADAS), effective learning of driver fatigue characteristics representation is a major challenge due to uncertainties of both real roads and drivers. To tackle this problem, this paper…
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Keywords:
driver fatigue;
fatigue;
steering wheel;
fatigue features ... See more keywords
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Published in 2025 at "Canadian Journal of Civil Engineering"
DOI: 10.1139/cjce-2024-0377
Abstract: Existing train driver fatigue detection methods usually measure drivers’ biological signals. However, these methods usually use a single biosignal, and don’t consider potential connections between the biosignals. In addition, most biosignal detection methods focus on…
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Keywords:
detection;
fusion;
fatigue detection;
driver fatigue ... See more keywords