Experimental Validation of a Driver Steering Model Based on Switching of Driver Specific Primitives

A model of the driver's lateral steering behavior is important for the design of a lateral steering assistance system, which performs the control task in cooperation with the driver. It is believed that humans realize their motions by combining elementary motion blocks - so called "movemes". Based on this theory and in contrast to state of the art driver models, the dynamic steering primitives resulting from the movemes are used as a grey box model of the neuromuscular system of a specific driver. Hence the proposed human inspired lateral steering model consists of a set of movemes and a superimposed switching mechanism. The switching mechanism is modeled using model predictive control and determines the optimal sequence of active movemes with respect to the steering task. In this article an experimental validation of the moveme based driver model using reference data obtained from a driving study is given.

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