Driving Behavior Operation Pattern Modeling Method Based on Individual Characteristics

Abstract

Abstract: In order to study the method of the driving behavior operation pattern modeling which might reflect the individual characteristics of driver， the driving operation data of drivers using the automobile driving simulator were collected and the raw data was preprocessed by means of Kalman filter. Then, a method of individual driving behavior operation modeling was put forward based on the directed digraphs by analyzing the operation data of drivers with a method of combining the data and mechanism. The method was tested with the data of overtaking behavior on mountain highway. The results show that the driving behavior operation pattern modeled with the method may effectively reflect the individual characteristics of drivers and may provide technical supports to solve the problems of the driving operation pattern modeling for the individual and intellectual driving safety assistance systems.

Key words: driving behavior, operation pattern modeling, Kalman filter, safety assistance system

摘要： 为研究能体现驾驶人个体特性的驾驶行为操纵模式建模方法，通过汽车驾驶模拟器采集驾驶人的驾驶行为操纵数据，利用卡尔曼滤波器对原始数据进行预处理，采用数据/机理相混合的方法对驾驶人的驾驶行为操纵数据进行分析，研究提出基于有向图的个性化驾驶人驾驶行为操纵模式建模方法。以山区高速公路超车行为为例进行建模方法试验，测试结果表明该方法构建的驾驶行为操纵模式能有效地体现出驾驶人驾驶的个体特性，为研究开发个性化和智能化的驾驶安全辅助系统涉及的驾驶行为操纵模式建模问题提供了技术支撑。

关键词: 驾驶行为, 操纵模式建模, 卡尔曼滤波, 安全辅助系统

CLC Number:

U461

Xiao Xianqiang, Yin Yanjie, Wang Jiaen. Driving Behavior Operation Pattern Modeling Method Based on Individual Characteristics[J]. China Mechanical Engineering.

肖献强, 殷延杰, 王家恩. 基于个体特性的驾驶行为操纵模式建模方法[J]. 中国机械工程.

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