It is very important to provide material support for people in disaster area in order to save lives and reduce losses. With the development of science and technology and the popularization of 5G network, Unmanned Aerial Vehicle (UAV, or drone) will be widely used in urban logistics delivery and emergency rescue. Using trucks as a launch platform for drones, and delivering logistics in a coordinated distribution mode of trucks and drones, which is expected to further improve distribution efficiency. A mixed integer programming model with the shortest total delivery time is established. An artificial bee colony (ABC) algorithm embedded with improved mileage-saving (the Clarke-Wright or C-W) algorithm is developed to solve this model. The results show that the established model and the proposed algorithm are effective and can provide guidance for the application of drones in emergency rescue.


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    Titel :

    Optimization of drone and truck emergency delivery using artificial bee colony-Clarke-Wright algorithm


    Beteiligte:
    Han, Shuguang (Autor:in) / Yang, Hang (Autor:in) / Hu, Jueliang (Autor:in) / Zhang, Tianhui (Autor:in)

    Kongress:

    International Conference on Smart Transportation and City Engineering 2021 ; 2021 ; Chongqing,China


    Erschienen in:

    Proc. SPIE ; 12050 ; 1205006


    Erscheinungsdatum :

    10.11.2021





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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