In the past two decades, more and more people have gathered in cities, which are facing serious traffic congestion and environmental pollution. Shenzhen has taken the lead in completing the upgrade from fuel buses to fully electric buses, proving that it is inevitable for urban public transportation companies to adopt pure electric buses. However, due to the limitations of the current level of technological development, electric buses are marked by short cruising distance and long charging time, and traditional fuel bus scheduling models are no longer feasible. Research on the application of pure electric bus dispatching is imminent and difficult. Depending on the characteristics of pure-electric bus dispatch, this paper constructs an optimization model of vehicle dispatching with minimum cost from the perspective of operating enterprises and designs a solution process based on immune optimization algorithm. Finally, four bus routes are selected for example analysis to obtain driving dispatching schemes with different battery capacities and charging characteristics. The example results show that with the increase of the cruising distance and charging speed, the minimum fleet size required for dispatch and the corresponding dispatch cost have all decreased, but when it increases to a certain value, the characteristics of the bus no longer affect the dispatch plan.


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    Title :

    Optimization of Pure Electric Bus Scheduling Based on Immune Optimization Algorithm


    Additional title:

    Smart Innovation, Systems and Technologies


    Contributors:
    Qu, Xiaobo (editor) / Zhen, Lu (editor) / Howlett, Robert J. (editor) / Jain, Lakhmi C. (editor) / Ruan, Lianjie (author) / Hao, Xiaoni (author) / Qi, Weiwei (author)


    Publication date :

    2021-06-06


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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