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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:

    Published in:

    Advanced Materials Research ; 864-867 ; 1586-1591


    Publication date :

    2013-12-13


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    An Interval-Parameter Fuzzy Approach for Multiobjective Linear Programming Under Uncertainty

    Wu, S. / Huang, G. H. | British Library Online Contents | 2007


    VEHICLE EMISSIONS MANAGEMENT WITH URBAN TRAFFIC MANAGEMENT AND CONTROL SYSTEMS

    Wood, K. / ITS Congress Association | British Library Conference Proceedings | 2000


    Urban Traffic Management and Urban Planning

    Liu, Ji Peng ;Tang, Zhen Xing | Trans Tech Publications | 2012


    Reduction of Vehicle Emissions for Urban Traffic Networks

    Sarrazola, Anna / Estrada, Eliana Mejia / Arroyo, Nicolas et al. | TIBKAT | 2019