The main purpose of this paper is to simulate the effects of congestion pricing in traffic peak hours in order to find an optimized charging scheme. A two-level programming model is developed to illustrate the gaming process between the road supervisor/decision-maker and road users. The upper linear level describes the aim of decision-makers of reducing the travel time for the travelers and controlling the traffic emissions. The lower level describes the reaction of travelers, including choosing the trip modes and travel route. Finally, a solution of the two-level programming model based on the particle swarm optimization is designed in C # programming. In the case study of Beijing city, it is estimated that the implementation of congestion-charging would reduce traffic emissions in the charged area by 13%, and the total travel time would decrease by 5%.


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    Title :

    Study of Urban Environment-Oriented Congestion Pricing Scheme in Beijing


    Contributors:
    Wu, Ningning (author) / Yan, XinPing (author) / Wu, Chaozhong (author) / Gong, Jin (author)

    Conference:

    11th International Conference of Chinese Transportation Professionals (ICCTP) ; 2011 ; Nanjing, China


    Published in:

    ICCTP 2011 ; 199-209


    Publication date :

    2011-07-26




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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