Affected by terrain limitations, scattered demand, and other factors, the difficulty of rural express delivery has become an urgent problem for the logistics industry to solve. In response, a truck-mounted drone mobile station model has been proposed. Firstly, a mixed integer programming (MIP) model is established to minimize the total transportation cost as the optimization goal; secondly, the K-means clustering algorithm is used to determine the take-off and landing points for the drones, and a hybrid particle swarm optimization (PSO) algorithm is employed to find the transportation routes for the truck-mounted drone model; finally, in simulation experiments, the proposed truck-mounted drone mobile station model has reduced the cost by 20.09% and time by 13.26% compared to the traditional truck delivery model.


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    Title :

    Research on the Optimization of Rural Express Delivery Scheduling Based on the Truck-Mounted Drone Model


    Contributors:
    Qin, Haoli (author) / Wang, Xiaojun (author) / Zhang, Xiqing (author) / Yang, Chunxia (author)


    Publication date :

    2024-12-13


    Size :

    809153 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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