• DocumentCode
    3674503
  • Title

    Construction of the evaluation system for regional road traffic safety and application based on a grey integrated evaluation model

  • Author

    Binru Cao; Yong Liu; Wu-yong Qian; Yu-hong Wang

  • Author_Institution
    School of Business, Jiangnan University, Wuxi, 214122, China
  • fYear
    2015
  • Firstpage
    395
  • Lastpage
    403
  • Abstract
    It is the basis for making analysis of the status quo and implementing effectively road traffic safety management to launch the evaluation for regional road traffic safety, while the construction of scientific and effective evaluation system is the prerequisite of carrying out the evaluation. In order to provide a method for the evaluation for regional road traffic safety, a grey integrated evaluation model is exploited to investigate the scientific and effective evaluation system for regional road traffic safety. In this paper, the grey incidence feature vector method and grey incidence analysis are, respectively utilized to construct an evaluation index system for regional road traffic safety, and determine the index weights and then grey clustering and grey incidence. The ideal point method is used to establish a novel evaluation model of regional road traffic safety. Finally, the regional road traffic safety for 31 provinces and cities in china are investigated to illustrate the feasibility and effectiveness of the proposed model, and provide the basis of making analysis of the present situation and the difference for the provinces and cities in China. Based on the analysis of the model and case, the results show that the proposed model does not only realize the categorizations of regional security, but also the comparison and ranking for the evaluated regions in the same category.
  • Keywords
    "Indexes","Analytical models","Accidents","Roads","Safety"
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-8374-2
  • Type

    conf

  • DOI
    10.1109/GSIS.2015.7301890
  • Filename
    7301890