1993 Volume 5 Issue 4 Pages 827-839
This paper represents the method of detecting different driving environments such as highway roads, mountainous roads, traffic congestion, and so on by analyzing the driver's behavior. In order to assess this situation, a lot of attention was paid to the relationship between the driving environment and the driver's behavior, for example, accelerator pedal operation and/or braking operation. This relationship is expressed by the fuzzy relation matrix whose elements are of an interval value between 0.0 and 1.0,that is defined as "Interval Fuzzy Relation Equation". This matrix is generated by analyzing experimental data statistically. In this relationship, the characteristics of the driving environments are the predictor variables, and the characteristics of the driver's behavior are the criterion variables. Therefore, the prediction that driving environments from the driver's behavior is needed to solve the inverse problem in this relationship. In our approach, we considered fuzziness of the driver's behavior. Additionally, the matrixes of both the above-mentioned predictor and criterion variables contained expressed interval values as well. We have ascertained the method of detecting driving environments from the driver's behavior and from the study of this inverse fuzzy relation problem. We applied this new technology to an actual functioning automotive system and estimated the performance of this method.
