Paper Title :Estimation Of Reduction Rate Of Traffic Accident By Using Driver Monitoring Function

Author :Masahiro Miyaji

Article Citation :Masahiro Miyaji , (2015 ) " Estimation Of Reduction Rate Of Traffic Accident By Using Driver Monitoring Function " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 43-48, Volume-3,Issue-12

Abstract : Lots of vehicle safety systems have been introduced into market. Those systems have played a certain role to reduce traffic fatalities as well as traffic accidents. In the preventive safety area some driver’s psychosomatic adaptive driving support function has been introduced into market. In order to more reduce the number of traffic accidents those systems have to evolve by using new technologies. Consequently this research analyzed major root cause of traffic accidents by using Internet survey which collects real world experiences about traffic incidents. From the analysis of the survey, this researchfocused driver’s distraction which may cause severe traffic accidents. Accordingly thisresearch established a method to detect driver’s distraction by means of using pattern recognition which algorithm were AdaBoost and Loss-based Error-Correcting Output Coding (LD-ECOC). By means of using driver’s distraction detection function, this research estimated reduction rate of traffic accidents to promote more installation of driver’s psychosomatic adaptive driving support function. Index Terms- Driver’s distraction detection, Internet research, pattern recognition, traffic incidents

Type : Research paper

Published : Volume-3,Issue-12

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