FUNDAMENTAL RESEARCH ON ABNORMAL DRIVING DETECTION OF ELDERLY DRIVER APPLYING ONE CLASS SUPPORT VECTOR MACHINE FOR DRIVING BEHAVIOR AT INTERSECTION

Abstract

 Recently in Japan, traffic accidents caused by elderly drivers become a serious social problem. It is said that these traffic accidents are often caused by a decline in physical function with age. The realization of automated driving has the potential to solve this problem but it is difficult that the introduction on urban roads. Thus, it is important to develop technology which prevents before occurring traffic accident.

 In this study, we propose a method to detect abnormal driving in an intersection because there are many traffic accidents caused by misoperation of an elderly driver in an intersection. A smartphone was set in the car and it obtained the vehicle characteristics such as acceleration and steering angular velocity. It was constructed the abnormal driving detection method applying One-Class Support Vector Machine (OCSVM) by using these data.