DocumentCode :
132108
Title :
Study on the reduction effect of traffic accident by using analysis of Internet survey
Author :
Miyaji, Masahiro
Author_Institution :
Instistute of Inf. Sci. & Technol., Aichi Prefectural Univ., Nagakute, Japan
fYear :
2014
fDate :
6-8 March 2014
Firstpage :
325
Lastpage :
330
Abstract :
Traffic fatalities and injuries in Japan have declined for twelve years by the comprehensive counter-measure for the reduction of traffic accidents. The efforts include enhancement of vehicle safety performance in both passive and preventive safety area. With regard 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 safety 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 the 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 the collected answer, major psychosomatic state of driver is hasty and distraction. As a first step this study focused driver´s distraction, which may cause severe 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.
Keywords :
Internet; accident prevention; injuries; intelligent transportation systems; psychology; road safety; statistical analysis; traffic engineering computing; ASV; Internet survey; Japan; adaptive driving support safety system; advanced safety vehicle; airbag system; crashworthiness; driver psychosomatic state; intelligent transportation systems; reduction effect; seat belt; statistical analysis; traffic accident; traffic fatalities; traffic injuries; Accidents; Accuracy; Heart rate; Internet; Magnetic heads; Safety; Vehicles; ASV; ITS benefits; Internet survey; disraction; drive monitoring; pattern recognition; questionnaire; traffic incident;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet of Things (WF-IoT), 2014 IEEE World Forum on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/WF-IoT.2014.6803182
Filename :
6803182
Link To Document :
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