Abstract
This study establishes a new driver model of Neural Network System which uses environmental information. Drivers deal with various information, such as vehicle behavior, environmental information and so on. Particularly, the environmental information is the most important, because it's about 90% of driver's information. Environmental information consists of some elements: road, vehicle and so on. In this study, each element is expressed by synthesizing a length and an angle and so on. As the first step, to express a shape of a road, we use two kinds of values: a length and a angle. The length is a magnitude of a line between the center of gravity of a vehicle and the road edge. The angle is an cross angle between the line and a road side. This driver model synthesizes these information. Finally, we show an information processing mechanism of a driver by analyzing between the input and the output.
