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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    Titel :

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


    Beteiligte:
    Sun, Guanglin (Autor:in) / Wang, Jian (Autor:in)

    Kongress:

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


    Erschienen in:

    ICTE 2011 ; 334-339


    Erscheinungsdatum :

    13.07.2011




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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