Research on Driver Model for Adaptive Control Behavior of Vehicle Direction

According to the process that a new driver becomes a low skill level driver and finally a skilled driver from learning how to drive, especially in light of the understanding on the vehicle lateral dynamics that will change from linear characteristic under low speed to strong nonlinear character under high speed, a novel driver model is established. At low speed linear range, off-line optimization based on genetic tuning is introduced into the model to get the optimal control parameters which is viewed as a basic understanding of the vehicle dynamic characteristics of a low skill level driver. On basis of the previous established model, neural network adaptive mechanism is introduced to the driver model which enables the driver to adjust the control online even at high speed non-linear area, reflecting a deeper understanding of the vehicle dynamic model. At last, simulation has been taken in order to verify the correctness and accuracy of the model.

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See papers presented at SAE 2010 World Congress & Exhibition, April 2010, Detroit, MI, USA, Session: Intelligent Vehicle Initiative (IVI) Technology Advanced Controls and Navigation Systems

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