Progress in research on identification and detection of vehicle typical hazardous driving states

doi:10.16265/j.cnki.issn1003-3033.2017.10.006

Abstract

Abstract: Progress in research on identification and detection of vehicle typical hazardous driving states was reviewed. Longitudinal and horizontal hazardous driving states and their characteristic parameters were examined, methods of identification and detection of the states were summarized. Future research trends were prospected. The results show that there are some differences in the range of thresholds for driving events in different literatures and there is still lacking of a uniform standard, that HMM has higher accuracy in the hazardous driving events identification, that available identification methods of typical hazardous driving states of vehicle have their own advantages and disadvantages, the methods based on portable devices and multi-sensors data are relatively superior, and that identification and detection of vehicle hazardous driving states based on the fusion data of multi-sensors will be the future research direction.

Key words: driving behavior, hazardous driving state, hazard identification, vehicle detection system, threshold division, hidden Markov model (HMM)

CLC Number:

LIU Tong, FU Rui, ZHANG Shiwei, DENG Mingyang. Progress in research on identification and detection of vehicle typical hazardous driving states[J]. China Safety Science Journal, 2017, 27(10): 32-37.

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