Reduction Effect of Traffic Accidents by Driver's Psychosomatic State Monitoring Function

被引:0
|
作者
Miyaji, Masahiro [1 ]
机构
[1] Aichi Prefectural Univ, Inst Informat Sci & Technol, Nagakute, Aichi 4801198, Japan
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Traffic fatalities and injuries in Japan have declined for fourteen years by comprehensive counter-measures. One of efforts has included enhancement of vehicle safety performance in passive and preventive safety. Pertaining to passive safety, major reduction effect has been brought by airbag systems, seat belts and crashworthiness of vehicles. To further reduce the traffic accident, preventive safety may play more important role. Recently driver's psychosomatic state adaptive driving support safety function has been highlighted to further reduce the number of traffic accident. Accordingly reduction effect of psychosomatic adaptive driving support 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. In this study experiences of traffic incidents was analyzed by using the data collected through Internet. From the results this study focused driver's distraction, which may cause severe traffic accidents. By using pattern recognition, detection accuracy of driver's cognitive distraction was acquired. Reduction rate by using function of driver's distraction detection was estimated by referring the reduction rate of both Advanced Safety Vehicle and Intelligent Transportation Systems.
引用
收藏
页码:217 / 222
页数:6
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