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LIANG Jun, JIANG Wei, LI Xu-hong. An improvement on fuzzy comprehensive evaluation method and its use in urban traffic planning[J]. Journal of Traffic and Transportation Engineering, 2002, 2(4): 68-72.
Citation: LIANG Jun, JIANG Wei, LI Xu-hong. An improvement on fuzzy comprehensive evaluation method and its use in urban traffic planning[J]. Journal of Traffic and Transportation Engineering, 2002, 2(4): 68-72.
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An improvement on fuzzy comprehensive evaluation method and its use in urban traffic planning

  • School of Transportation, Southeast University, Nanjing 210096, China

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  • Author Bio:

    LIANG Jun(1974-), female, a graduate student of Southeast University, engaged in research of transportation planning and management

  • Received Date: 2002-06-03
  • Publish Date: 2002-12-25
    Abstract
  • For the fuzzy comprehensive evaluation method has a shortcoming that the weights of indexes usually are decided by experts, hence the conclusion is not so objective. In order to make the conclusion more objective, a new method that combines the concept of entropy and relevance rate was presented.Based on this new method, a model of evaluating traffic planning of urban key area was developed. Some values of parameters were put forward, and tested by an example.

     

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    • References(4)
  • [1]
    HE Ning, PAN Xiang-yang. The decision-making research on urban rapid rail transit planning[J]. China Journal of Highway and Transport, 1999, 12(3): 73-81.
    [2]
    YU Li-jun, YAN Hai, YAN Bao-jie. Maximum entropy method and it's application in probability density function of traffic flow[J]. Journal of Traffic and Transportation Engineering, 2001, 1(3): 91-94.
    [3]
    DA Qing-dong, ZHANG Guo-wu, JIANG Xue-feng. Traffic distribution and entropy[J]. Journal of Highway and Transportation Research and Development, 1999, 16(1): 37-39.
    [4]
    HAN Zheng-zhong, FANG Ning-sheng. The Application of Fuzzy Mathematics[M]. Nanjing: Southeast University Publishing Company, 1993.
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