吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (5): 1414-1419.doi: 10.13229/j.cnki.jdxbgxb201505006

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Discriminant analysis of driving decisions based on fuzzy clustering

WANG Zhe1, YANG Bai-ting2, LIU Xin1, LIU Qun1, SONG Xian-min3   

  1. 1.Network Center, Jilin University, Changchun 130022,China;
    2.Institute of Information, Changchun Vocational Institute of Technology, Changchun 130031,China;
    3.College of Transportation, Jilin University, Changchun 130022,China
  • Received:2014-05-21 Online:2015-09-01 Published:2015-09-01

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Abstract: According to the traffic characteristics, the psychological and physiological activities of the driver in decision making process are analyzed. The main factors affecting driving decisions, such as the driver's range of perception and experience etc, were identified. Then, the psychological activities of the driver were considered and the driver perception threshold and emergency response threshold were determined. The method of fuzzy clustering analysis was used to classify a sample and the degree of membership of the sample in different driving decision-making was gotten. It was judged that the driver should accelerate, decelerate, uniformly drive or emergency brake. Finally, the driver perception threshold and emergency response threshold were analyzed on different grade roads. The results show that the driver's range of perception was not just the visual distance, and the driver's psychology would change a lot under different driving speeds. The proposed method is easy and simple to use. It can provide a theoretical basis for traffic simulation and traffic safety.

Key words: engineering of communications and transportation safety, driving behavior, fuzzy cluster analysis, decision strategy

CLC Number: 

  • U491.54
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