Analysis of HAZMAT truck driver fatigue and distracted driving with warning-based data and association rules mining

Professional drivers are more frequently exposed to longer driving distance and travel time, leading to a higher possibility of safety risk for distraction and fatigue. The widespread and common use of commercial driver monitoring systems (DMS) provides a potential for data collection. It increases...

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Autores principales:	Ming Sun, Ronggui Zhou, Chengwu Jiao
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	KeAi Communications Co., Ltd. 2023-02-01
Colección:	Journal of Traffic and Transportation Engineering (English ed. Online)
Materias:	Traffic safety DMS warning-based data Association rule mining HAZMAT truck driver Distracted driving Fatigue driving
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2095756423000090
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