Driver Model Characterizes Driving Style and Driver's Ability

被引：0
|
作者：
Wang C. [1 ]
Guo K.-H. [1 ]
Xu N. [1 ]
Zhang L. [1 ]
Liu Y. [2 ]
Zheng L. [3 ]
Liu T. [3 ]
机构：
[1] State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, 130025, Jilin
[2] KH Automotive Technologies (Changchun) Co., Ltd., Changchun, 130012, Jilin
[3] China Faw Group Corporation, R &D Center, Changchun, 130011, Jilin
来源：
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2019年 / 39卷 / 01期
关键词：
Driver model; Driver's ability; Driving style; Path tracking; Predictive control;
D O I：
10.15918/j.tbit1001-0645.2019.01.007
中图分类号：
学科分类号：
摘要：
Due to the various behavior of the real driver group and different driver's ability, the acceleration decision-making and the real control decision value of the driver is not the optimal decision value. To get the difference in driver's ability and varying degrees of deviation from the optimal decision value, a multi-point and multi-objective decision-making driver model was developed based on the classic optimal preview lateral driver model, and the driving style was described with the driver's vision and decision-making intention. And the driver's ability was modeled based on the normal distribution theory. The simulink/Carsim co-simulation results show that the model including four free parameters can reflect the driving behavior of different drivers and is expected to be used to research on improving the experience of driverless car. © 2019, Editorial Department of Transaction of Beijing Institute of Technology. All right reserved.
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页码：41 / 45
页数：4
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