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.
키워드
Hazardous materials transport truckfatigue condition intensity in the highwayAssociation rule-based analysesReal-world driving data and driving environmental data
저자
Dongmin Kim [ Cho Chun Shik Graduate School of Mobility Korea Advanced Institute of Science and Technology Daejeon, South Korea ]
Jooyoung Lee [ Cho Chun Shik Graduate School of Mobility Korea Advanced Institute of Science and Technology Daejeon, South Korea ]
Kitae Jang [ Cho Chun Shik Graduate School of Mobility Korea Advanced Institute of Science and Technology Daejeon, South Korea ]