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Xu Hong-guo, Liu Zhao-hui, Wang Chao. Road safety level evaluation based on grey fixed weight clustering model and factors analysis[J]. Journal of Traffic and Transportation Engineering, 2007, 7(2): 94-98.
Citation: Xu Hong-guo, Liu Zhao-hui, Wang Chao. Road safety level evaluation based on grey fixed weight clustering model and factors analysis[J]. Journal of Traffic and Transportation Engineering, 2007, 7(2): 94-98.
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Road safety level evaluation based on grey fixed weight clustering model and factors analysis

  • School of Transportation, Jilin University, Changchun 130022, Jilin, China

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  • Author Bio:

    Xu Hong-guo(1955-), male, professor, +86-431-85690786, xuhg@jlu.edu.cn

  • Received Date: 2006-10-05
  • Publish Date: 2007-04-25
    Abstract
  • In order to determine the holistic traffic safety levels of higher-class highways in a district, and distinguish the influence degrees of road factors on traffic safety, grey clustering theory of whitenization weight function, fuzzy theory and analytic hierarchy process (AHP) were studied, a new synthesized method for evaluating road safety level was put forward.Higher-class highways in a district were categorized into several safety grades by utilizing grey fixed weight clustering.The weight of each clustering criterion was determined by adopting fuzzy consistency matrix.Main road factors that influenced traffic safety were quantificationally analyzed by using AHP.Analysis result of an example shows that highway No.5 belongs to the grey group of low safety grade, its namely alignment combination, safeguard facilities, sight distance and mixed degree are main reasons to result in the low safety grade.Which indicates that the method can objectively compartmentalize the traffic safety levels of higher-class highways, give a reasonable order of the factors that affected traffic safety, and realize the systematic evaluation of road traffic safety.

     

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