在分析驾驶员行为特性和行为操纵的基础上，根据预测跟随理论，建立了驾驶员预测控制神经网络（ANN）模型；
Based on the analysis of pilot behavior character a nd control mode, the predictive control ANN (artificial neural network) model is established according to the theory of prediction-following.
本文在对驾驶员动态视觉特性及相关研究理论进行回顾分析的基础上，开展了对驾驶员视觉搜索行为的试验研究。
Based on the review and analysis of drivers' dynamic visual characters and related theories, this article carried out the experimental study on drivers visual search behavior.
根据大量的统计结果，很多交通事故特别是发生在山区道路环境下的事故，其发生多与驾驶员的驾驶行为特性密切相关。
According to large number of statistical results, most of the traffic accidents, especially those happened on mountain roads were closely related to the behavioral traits of the drivers.
这一模型可以用来仿真驾驶员在操纵汽车的过程中，根据前方道路交通的可行区域，决策汽车未来期望走行轨迹的控制行为特性，并可描述驾驶安全程度、驾驶员体能极限等诸多指标。
The model can simulate the driver′s control behavior of deciding the vehicle preview course in the process of driver′s handling the vehicle, based on the feasible region of front road.
这一模型可以用来仿真驾驶员在操纵汽车的过程中，根据前方道路交通的可行区域，决策汽车未来期望走行轨迹的控制行为特性，并可描述驾驶安全程度、驾驶员体能极限等诸多指标。
The model can simulate the driver′s control behavior of deciding the vehicle preview course in the process of driver′s handling the vehicle, based on the feasible region of front road.
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