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Functional safety-oriented hazard analysis and risk assessment for vehicular fuel cell systems.
Heliyon
January 2025
Beijing SinoHytec Co., Ltd., Zhongguancun, Dongsheng S & T Park, 66 Xixiaokou Road, Beijing 100192, China.
Functional safety is an emerging trend for safety design in the automobile industry. This study is an innovative exploration of a hazard analysis and quantitative risk assessment (QRA) methodology based on the functional safety of vehicular fuel cell systems. In this study, the potential hazards that fuel cell vehicles may encounter during operation were identified using the automobile generic hazard list.
View Article and Find Full Text PDFA hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition.
Sci Rep
January 2025
College of Smart City and Transportation, Southwest Jiaotong University, Chengdu, Sichuan, China.
Fatigue driving is one of the potential factors threatening road safety, and monitoring drivers' mental state through electroencephalography (EEG) can effectively prevent such risks. In this paper, a new model, DE-GFRJMCMC, is proposed for selecting critical channels and optimal feature subsets from EEG data to improve the accuracy of fatigue driving recognition. The model is validated on the SEED-VIG dataset.
View Article and Find Full Text PDFActive Disturbance Rejection Control for an automotive suspension system based on parameter tuning using a fuzzy technique.
PLoS One
January 2025
Faculty of Mechanical Engineering, Thuyloi University, Hanoi, Vietnam.
Road surface roughness is the cause of vehicle vibration, which is considered a system disturbance. Previous studies on suspension system control often ignore the influence of disturbances while designing the controller, leading to system performance degradation under severe vibration conditions. In this work, we propose a control method to improve active suspension performance that reduces vehicle vibration by eliminating the influence of road disturbances.
View Article and Find Full Text PDFSemantically-Enhanced Feature Extraction with CLIP and Transformer Networks for Driver Fatigue Detection.
Sensors (Basel)
December 2024
Department of Computer Science and Software Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.
Drowsy driving is a leading cause of commercial vehicle traffic crashes. The trend is to train fatigue detection models using deep neural networks on driver video data, but challenges remain in coarse and incomplete high-level feature extraction and network architecture optimization. This paper pioneers the use of the CLIP (Contrastive Language-Image Pre-training) model for fatigue detection.
View Article and Find Full Text PDFThe Effect of Tyre and Road Wear Particles on the Terrestrial Isopod .
Biomolecules
December 2024
Department of Life Sciences, University of Trieste, 34127 Trieste, Italy.
(1) Car tyre microplastic particles (TMPs) significantly contribute to global microplastic pollution, with an estimated annual production of 6 million tonnes. However, the impact of TMPs, particularly tyre and road wear particles (TRWPs), resulting from tyre abrasion on the road on terrestrial organisms, is poorly understood. This study investigated the effects of TMPs and TRWPs on the growth, immune response, behaviour, and cognition of the woodlouse over 30 days; (2) TMPs and TRWPs were mixed together in the first experiment and provided at different concentrations of 1.
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