The adoption of UAVs in the instant delivery system can enhance efficiency while reducing labor costs. For smooth functioning of the system, a time-extended assignment (TA) method is required for determining the optimal delivery order sequence for each UAV such that the delivery revenue of the system is maximized. In this work, The TA is modeled as a mixed-integer nonlinear programming (MINLP) problem and the feasibility of the problem is validate by numerical experiments. In addition, a visualization interface is developed to demonstrate the task assignment results. The simulation results show that TA exhibits greater optimization potential compared to instantaneous assignment (IA), which assigned at most one order to each UAV per allocation cycle instead of an order sequence.


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    Titel :

    Time-Extended Task Assignment for UAV-Based Instant Delivery System


    Beteiligte:
    Xiang, Zhao (Autor:in) / Zhang, Hairui (Autor:in) / Wang, Jianlai (Autor:in)


    Erscheinungsdatum :

    28.03.2025


    Format / Umfang :

    2530455 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch