Abstract
In research into human-vehicle system, it is important to structure driver decision-making model. We analyze information for driver decision-making in forward vehicle following situation by using Neural Network. In this analysis, vehicle velocity, vehicle acceleration, headway distance and relative velocity are considered as information that drivers can obtain. As a result, we have found that the driver is influenced by the vehicle acceleration, and the driver needs a lot of information in a relatively low-speed area.
