Title :
Reduction effect of traffic accidents by driver´s psychosomatic state monitoring function
Author :
Miyaji, Masahiro
Author_Institution :
Inst. of Inf. Sci. & Technol., Aichi Prefectural Univ., Nagakute, Japan
fDate :
June 28 2015-July 1 2015
Abstract :
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.
Keywords :
Internet; cognition; injuries; intelligent transportation systems; psychology; road accidents; road safety; road traffic; seats; statistical analysis; Internet; advanced safety vehicle; airbag system; crashworthiness; detection accuracy; driver cognitive distraction; driver psychosomatic state adaptive driving support safety function; driver psychosomatic state monitoring function; intelligent transportation system; passive safety; pattern recognition; preventive safety; psychosomatic adaptive driving support safety function; reduction effect; seat belt; statistical analysis; traffic accident; traffic fatality; traffic incident; traffic injury; vehicle safety performance; Accidents; Accuracy; Head; Heart rate; Rail to rail inputs; Safety; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2015 IEEE
Conference_Location :
Seoul
DOI :
10.1109/IVS.2015.7225689