前車追従時に於けるドライバの運転特性解析手法に関する研究(機械力学,計測,自動制御)

概要

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This paper covers driver's information processing of forward vehicle following to discuss about control characteristics of driver. Using a neural network system, driver's information processing is simulated by constructing a driver model to reproduce driver's control behavior. The data used to construct the driver model was collected by a driving simulator. At the result, it was found that this model was able to accurately reproduce driver's control behavior. After that, driver's control characteristics were shown by factor analysis method that was used to calculate the contributing rate of inputs for driver's control behavior. The result showed the greater importance of relative information over vehicle information. Finally, major variation of information processing was expressed in some phases of control behavior, and remodeling between these phases showed control characteristics in more detail.
2006-03-25