With the rapid expansion of global e-commerce, the logistics industry faces increasing demand for last-mile delivery solutions, highlighting the need for sustainable solutions such as the integration of Electric Trucks (ETs) and drones to improve the delivery operational efficiency and reduce the environmental impact. This paper presents a novel routing model to optimize the delivery routes by considering the collaboration of ETs and drones. In response to the problem of limited driving range due to battery capacity constraints in large-scale delivery scenarios, our approach considers the battery limitations of both ETs and drones, allowing ETs to make multiple trips and recharge at designated charging stations, while drones can be recharged by returning to corresponding ETs during the deliveries. Finally, a practical case study based on real-word logistics scenario in Las Vegas is conducted to evaluate the performance of the proposed model, demonstrating significant cost savings and increased delivery efficiency when ETs and drones are allowed to recharge during the delivery process, providing a robust solution for sustainable and efficient large-scale logistics distribution


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    Title :

    Optimization of collaborative delivery routes for electric trucks and drones with integrated recharging strategies


    Contributors:
    Wang, Shu (author) / Cheng, Yimeng (author) / Guan, Tian (author) / Ma, Liming (author) / Han, Yi (author)


    Publication date :

    2024-10-10


    Size :

    656143 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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