The option of toll road is observably influential on the results of road-based congestion charging. This paper adopts C-means clustering algorithm based on interval fuzzy numbers to confirm the roads charged collection in transport network. Firstly, the C-means clustering algorithm is used to classify the paths, and gain the optimum number of categories according to the traffic index values in rush hour. Then the social welfare of each category of toll road is calculated respectively by the model of congestion pricing. The road set with maximum social welfare is charging group. The rational option of toll road is meaningful for improving social welfare and effect of road charging.


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    Title :

    Option of Toll Road with C-Means Clustering Algorithm Based on Interval Fuzzy Numbers


    Contributors:
    Sun, Guanglin (author) / Wang, Jian (author)

    Conference:

    Third International Conference on Transportation Engineering (ICTE) ; 2011 ; Chengdu, China


    Published in:

    ICTE 2011 ; 334-339


    Publication date :

    2011-07-13




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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