IEEE WF-IoT Session: Study on the Reduction Effect of Traffic Accident by Using Analysis of Internet Survey

Masahiro Miyaji, Aichi Prefectural University & InfoTOYOTA, LTD, Japan

Traffic fatalities in Japan have declined for twelve years by the comprehensive counter-measure. The efforts include enhancement of vehicle safety performance in passive and preventive safety area. As to passive safety, major reduction effect was brought by airbag system, seat belt and crashworthiness of vehicle. For further reduction of the traffic accident, preventive safety may play more important role. Recently driver's psychosomatic state adaptive driving support system has been highlighted to reduce the traffic accident. For that reason reduction effect of psychosomatic adaptive safety function should be clarified to foster its penetration into the market. Statistical analysis of the traffic incident is highly expected to evaluate reduction effect of the traffic accident of psychosomatic adaptive safety function. To execute the challenge, this study introduced Internet survey by delivering questionnaires to respondents. From the analysis of collected answer, major psychosomatic state of driver is hasty and distraction. As a first step this study focused driver's distraction, which may cause traffic accidents. By using pattern recognition, the detection accuracy of driver's distraction was acquired. The reduction effect of the driver's distraction in the traffic accident was estimated by referring the reduction rate of both ASV (Advanced Safety Vehicle) and Intelligent Transportation Systems.

 

 

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