Directional Control Driver Model with Desired Path Generation

With the increase in driver assistance systems, driver models are becoming more important to vehicle control, safety, and performance. To enhance these driver assistance systems, the driver models need to be able to replicate human driving behaviors and distinguish among different drivers. In this paper, a combined driver model consisting of a compensatory transfer function and an anticipatory component based on road geometry is integrated with the design of the individual driver´s desired path. The proposed driver model parameters are obtained from human subject test data collected in a driving simulator. It has been shown that the proposed combined driver model is able to replicate each driver´s steering wheel angle signals for a variety of maneuvers at different vehicle speeds. The driver model is then validated at an intermediate speed using a polynomial to interpolate the driver model and desired path parameters.