원문정보
초록
영어
Drowsy driving of commercialized vehicles has been a challenging issue to road safety hazards. Among the vehicles, hazardous materials transport trucks should be addressed to prevent not only critical road hazards but also secondary disasters by their drowsy driving accidents. Here, real-world driving data and driving environmental data were utilized to evaluate fatigue condition intensity (FCI) on highways about drowsy driving to hazardous material vehicles. With the Drowsy driving dataset constructed based on drowsy driving features in previous studies, the study proposed a methodology to compute FCI to fatigue conditions by rule-based association analyses. The proposed methodology offers numerical indicators of FCI of the drivers and presents similar insights to fatigue conditions with other research. In addition, the numerical indicator contributes to describing microscopic features of drowsy driving conditions.