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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2009  >  9(5): 121-126
ZHANG Lei, WANG Jian-qiang, YANG Fu-rui, LI Ke-qiang. Factor analysis and fuzzy clustering of driver behavior pattern[J]. Journal of Traffic and Transportation Engineering, 2009, 9(5): 121-126. doi: 10.19818/j.cnki.1671-1637.2009.05.022
Citation: ZHANG Lei, WANG Jian-qiang, YANG Fu-rui, LI Ke-qiang. Factor analysis and fuzzy clustering of driver behavior pattern[J]. Journal of Traffic and Transportation Engineering, 2009, 9(5): 121-126. doi: 10.19818/j.cnki.1671-1637.2009.05.022
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Factor analysis and fuzzy clustering of driver behavior pattern

doi: 10.19818/j.cnki.1671-1637.2009.05.022

  • State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China

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    Abstract
  • In order to study driver pattern and population clustering feature, driver behavior self-reported investigation for normal drivers was conducted with standardized driver behavior questionnaire(DBQ), and its validity and reliability of the questionnaire were verified based on statistics analysis.Driving ability factor and driving style factor were extracted from the questionnaire results to quantify driver characteristics with factor analysis method.Based on fuzzy C-means clustering algorithm, driver cluster distribution was established with the two factors as pattern features.Comparison result indicates that the higher the driving ability factor value is, the weaker the driving ability is; the higher the driving style factor value is, the more aggressive the driver style is.The clustering result has similar distribution tendency with driver subjective evaluation, and the clusters with weaker ability or more aggressive style have higher accident driver rate.

     

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