In this study, an interval-parameter programming method has been used for urban vehicle emissions management under uncertainty. The model improves upon the existing optimization methods with advantages in uncertainty reflection, system costs and limitation of emission. Moreover, the model is applied to a case study of urban vehicle emissions management in a virtual city. The results indicate that the interval linear traffic planning model can effectively reduce the vehicles emission and provide strategies for authorities to deal with problems of transportation system.


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    Titel :

    Urban Vehicle Emissions Management under Uncertainty - A Traffic Planning Model with Interval-Parameter Programming



    Erschienen in:

    Advanced Materials Research ; 864-867 ; 1586-1591


    Erscheinungsdatum :

    2013-12-13


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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