Suffering from environmental distress like carbon emissions, traffic restrictions have been enforced extensively in distribution logistics. Reasonable arrangement of urban freight transportation can effectively improve distribution efficiency, reduce distribution costs, and alleviate the impact of traffic restrictions in distribution logistics. In response to increasingly stringent traffic restrictions, we establish a multi-objective optimization model, including the minimum distributions and the minimum carbon emissions. Given that the limits of battery capacity and cargo capacity, we build a green vehicle routing problem with soft time windows (GVRPTW) model with heterogenous fleets. In this study, three different factors, that is restricted area, travel time of vehicles, and carbon tax prices, are discussed in details. In order to solve the NP-hard model, we propose an improved ant colony optimization algorithm (IACO) by optimizing the state transition probability, and verifies the worth of the algorithm. The experimental results can explore the impacts of traffic restriction policies on the formulation of distribution scheme and offer reference opinions for the government to formulate reasonable restriction policies and better guide logistics enterprises to reduce carbon emissions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Heterogeneous Fleets for Green Vehicle Routing Problem With Traffic Restrictions


    Beteiligte:
    Wang, Heng (Autor:in) / Li, Menghan (Autor:in) / Wang, Zhenyu (Autor:in) / Li, Wei (Autor:in) / Hou, Tianjiao (Autor:in) / Yang, Xianyi (Autor:in) / Zhao, Zhenzhen (Autor:in) / Wang, Zhenfeng (Autor:in) / Sun, Tong (Autor:in)


    Erscheinungsdatum :

    2023-08-01


    Format / Umfang :

    3328749 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Routing of Heterogeneous Fleets for Flash Deliveries via Vehicle Group Assignment

    Kronmueller, Maximilian / Fielbaum, Andres / Alonso-Mora, Javier | IEEE | 2022



    Network Fundamental Diagram Based Routing of Vehicle Fleets in Dynamic Traffic Simulations

    Dandl, Florian / Tilg, Gabriel / Rostami-Shahrbabaki, Majid et al. | IEEE | 2020


    Heterogeneous fleet green vehicle routing problem: a literature review

    Normasari, Nur Mayke Eka / Lathifah, Nurul | BASE | 2021

    Freier Zugriff