In order to reduce the carbon emissions generated by vehicles during the logistics distribution, a green vehicle routing problem with split simultaneously deliveries and pickups model is established, by introducing-in an approximate calculation method for the fuel consumption and carbon emissions. The objective is to find environment-friendly green paths, and to minimize the total costs. A three-stage approach is designed to solve the problem. The effectiveness and feasibility of the proposed model and algorithms are verified by numerical experiments. The experimental results show that vehicle speeds, vehicle load rates, travel distances and the number of routes greatly affect the fuel consumption and carbon emissions. Heterogeneous vehicles will decrease the vehicles used and route number, and increase the clustering flexibility. The experimental results also show that it would be necessary for new energy vehicles to enter the transportation market.


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    Titel :

    Carbon Emissions Reduction in Vehicle Routing Problems with Split Deliveries and Pickups


    Weitere Titelangaben:

    Lecture Notes in Operations res.


    Beteiligte:
    Shang, Xiaopu (Herausgeber:in) / Fu, Xiaowen (Herausgeber:in) / Ma, Yixuan (Herausgeber:in) / Gong, Daqing (Herausgeber:in) / Zhang, Juliang (Herausgeber:in) / Jin, Cheng (Autor:in) / Lu, Lijun (Autor:in) / Min, Jianing (Autor:in)

    Kongress:

    International Conference on Logistics, Informatics and Service Sciences ; 2022 ; Beijing, China July 21, 2022 - July 23, 2022


    Erschienen in:

    LISS 2022 ; Kapitel : 10 ; 133-147


    Erscheinungsdatum :

    2023-10-14


    Format / Umfang :

    15 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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