According to the characters of the homogeneous macroscopic fundamental diagram (MFD), we establish a macro estimation model of energy consumption, combining the basic control parameters of signal intersections and section, to reduce travel time and fuel consumption of vehicles in congested areas. Further, a bi-level optimal control model is established for boundary signal of the congestion area. A solution algorithm based on the adaptive breeding chaotic swarm optimization algorithm based on immune selection (ICPOS) is presented. Finally, the simulation results show that: (1) in this paper, the bi-level optimal control model not only can increase the capability of evacuation, but also can reduce the fuel consumption of vehicles during the congestion time; (2) the energy consumption optimal control method can also effectively improve the balance of network density; and (3) the boundary control for congested areas can reduce congestion during rush hours and improve the evacuated ability of the network.


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    Title :

    The Optimization Method of Energy Consumption in the Congestion Transportation Network Based on Macroscopic Fundamental Diagram


    Contributors:
    Ding, Heng (author) / Yang, Tao (author) / Zhou, Jingwen (author) / Zheng, Xiaoyan (author) / Huang, Wenjuan (author)

    Conference:

    18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China


    Published in:

    CICTP 2018 ; 1322-1332


    Publication date :

    2018-07-02




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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