NON-LINEAR MODEL DESCRIBING DRIVER BEHAVIOR ON STRAIGHT ROADS

被引:7
作者
BAXTER, J
HARRISON, JY
机构
关键词
D O I
10.1177/001872087902100111
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Experiments on a CRT driving simulator are used to develop a closed-loop human operator model for straight road driving in the absence of any externally applied disturbance such as side wind gusts or woad roughness. It is shown that a significant portion of the driver's control characteristics can be represented by a stationary, nonlinear system with a single visual input. The driver's visual input is considered to be the angle subtended between the heading axis and a line connecting a point on the lane center at a preview distance with his eyes. An optimization procedure is used to evaluate the model parameters, and it is found that the driver's action can be best represented by a pure time delay cascaded with a classical hysteresis nonlinearity. The self-excited limit cycle frequency and amplitudes of this model system are shown to agree closely with respective quantitative aspects of the experimental data confirming the validity of the model.; Experiments on a CRT driving simulator are used to develop a closed-loop human operator model for straight road driving in the absence of any externally applied disturbance such as side wind gusts or road roughness. It is shown that a significant portion of the driver's control characteristics can be represented by a stationary, nonlinear system with a single visual input. The drivers's visual input is considered to be the angle subtended between the heading axis and a line connecting a point on the lane center at a preview distance with his eyes. An optimization procedure is used to evaluate the model parameters, and it is found that the driver's action can be best represented by a pure time delay cascaded with a classical hysteresis nonlinearity. The self-excited limit cycle frequency and amplitudes of this model system are shown to agree closely with respective quantitative aspects of the experimental data confirming the validity of the model.
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页码:87 / 97
页数:11
相关论文
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