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In our vehicle driving, it is important to take appropriate evasive action based on the recognition of the hazardous events as one of driver's ability. There is a concept of "Risk perception" that makes effect to both driver's ability sides of the behavioral and acceptance with their controllability. In the previous study, the relation of Risk perception with the number of traffic accidents...
A vehicle's steering wheel is a special interface because it needs to be grasped by the driver's hand while driving. This is very useful from the viewpoint of biological instrumentation. This may achieve steady instrumentation for biological information, and by using this information, an estimate of the driver's state can also be made. In past research, a steering wheel sensor system was proposed...
This paper presents a new method for modeling driver operation behavior. The proposed method is based on using the predictor coefficients as feature vectors extracted from driving operation signal by linear prediction analysis (LPA). The distribution of the feature vectors is captured by employing auto associative neural networks (AANN) model. The performance of the model was evaluated through driver...
Prevention for car accident is one of main issue in the car-oriented society. This research aims at the development of fundamental solution for decrease the car accidents. For this purpose, driver model for evaluation of abnormal driver's operations through the handling behavior are proposed. In this paper, analysis method for driver's operations of left-turning in a intersection and sensing method...
Nowadays, research and development in vehicle safety system has been intensively conducted. However, research focusing on detection unsafe signal from driving behavior is much less defined and explored. Abnormal driving behavior is a result of instability of internal state of the driver that could lead to uncomfortable and dangerous situation in driving task. In this study we described a method for...
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