Identification of driver individualities using Gaussian mixture model

被引：0

作者：

Wu, Jian ^{[1
]}

Yao, Lin-Lin ^{[1
]}

Zhu, Bing ^{[1
,2
]}

Deng, Wei-Wen ^{[1
]}

机构：

[1] State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun

[2] Key Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2015年 / 45卷 / 01期

关键词：

Characteristic identification; Driver individualities; Gaussian mixture model; Vehicle engineering;

D O I：

10.13229/j.cnki.jdxbgxb201501006

中图分类号：

学科分类号：

摘要：

In order to identify different types of driver individualities, a driver behavior signal acquisition system was developed using the dSPACE real-time simulation platform. The signals of driving behaviors of 30 drivers were collected under the test condition of double lane change. An identification model of driver individualities was proposed using Gaussian mixture model. Three kinds of typical standard drivers were chosen to optimize the model parameters. Identification experiments were carried out with testing drivers using the optimized model, and the Design of Experiment (DOE) method was applied to analyze the identification method. Experiment results show that the proposed identification method based on Gaussian mixture model can effectively identify the drivers' individualities. ©, 2014, Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition). All right reserved.

引用

页码：38 / 43

页数：5

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