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Driver's Behavior Modeling Using Fuzzy Logic

机译:基于模糊逻辑的驾驶员行为建模

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摘要

In this study, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver's behavior is affected by the environment. The climate, road and car conditions are included in fuzzy modeling. For obtaining fuzzy rules, experts' opinions are benefited by means of questionnaires on effects of parameters such as climate, road and car conditions on driving capabilities. Also the precision, age and driving individuality are used to model the driver's behavior. Three different positions are considered for driving and decision making. A fuzzy model called Model I is presented for modeling the change of steering angle and speed control by considering time distances with existing cars in these three positions, the information about the speed and direction of car, and the steering angle of car. Also we obtained two other models based on fuzzy rules called Model II and Model III by using Sugeno fuzzy inference. Model II and Model III have less linguistic terms than Model I for the steering angle and direction of car. The results of three models are compared for a driver who drives based on driving laws.
机译:在这项研究中,我们提出了一个在驾驶员-车辆-环境系统中的人的分层模糊系统,以对不同驾驶员的接管进行建模。驾驶员的行为受环境影响。模糊建模包括气候,道路和汽车状况。为了获得模糊规则,可以通过问卷调查来获取专家意见,这些问卷包括气候,道路和汽车状况等参数对驾驶能力的影响。精度,年龄和驾驶个性也被用来对驾驶员的行为进行建模。考虑了三个不同的职位进行驾驶和决策。提出了一种称为模型I的模糊模型,用于通过考虑这三个位置中与现有汽车的时间距离,有关汽车的速度和方向的信息以及汽车的转向角来对转向角和速度控制的变化进行建模。我们还使用Sugeno模糊推理获得了另外两个基于模糊规则的模型,分别称为模型II和模型III。关于汽车的转向角和方向,模型II和模型III的语言术语少于模型I。对于根据驾驶规律驾驶的驾驶员,比较了三种模型的结果。

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  • 来源
    《Mathematical Problems in Engineering》 |2010年第2期|p.59.1-59.29|共29页
  • 作者单位

    Faculty of Electrical and Computer Engineering, University of Tabriz, 51666-15813 Tabriz, Iran;

    Faculty of Electrical and Computer Engineering, University of Tabriz, 51666-15813 Tabriz, Iran;

    Faculty of Electrical and Computer Engineering, University of Tabriz, 51666-15813 Tabriz, Iran;

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