吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (1): 38-43.doi: 10.13229/j.cnki.jdxbgxb201501006

• Orignal Article • Previous Articles     Next Articles

Identification of driver individualities using Gaussian mixture model

WU Jian1,YAO Lin-lin1,ZHU Bing1,2,DENG Wei-wen1   

  1. 1.State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2.Key Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China
  • Received:2013-09-26 Online:2015-02-01 Published:2015-02-01

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Abstract: 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.

Key words: vehicle engineering, characteristic identification, Gaussian mixture model, driver individualities

CLC Number: 

  • U471.3
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