The distribution of emergency supplies after emergent public events is an important measure to reduce the losses. Vehicle routing for emergency supplies distribution has become an important research problem. Related studies mainly focus on general situations, and few studies focus on the vehicle routing problem for scarce emergency supplies distribution within a city. Vehicle routing problem within a city has its particularities, among which is city road network. The general road network used in relevant studies only contains the distribution center and demand points, which is different from the city road network, leading to inadequate applicability. This paper combines the vehicle routing problem for scarce emergency supplies distribution with the city road network. Aiming at minimizing the maximum loss of shortage at a single demand point, a vehicle routing model for scarce emergency supplies distribution within a city is established, and solution algorithms are designed according to different cases. The aim is to provide theoretical basis for emergency management departments to make decision on emergency supplies distribution scheme.


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    Titel :

    Vehicle routing model and algorithms for scarce emergency supplies distribution within a city


    Beteiligte:
    Zaidi, Habib (Herausgeber:in) / Shmaliy, Yuriy S. (Herausgeber:in) / Meng, Hongying (Herausgeber:in) / Kolivand, Hoshang (Herausgeber:in) / Sun, Yougang (Herausgeber:in) / Luo, Jianping (Herausgeber:in) / Alazab, Mamoun (Herausgeber:in) / Zhang, Meng (Autor:in) / Sun, Lulu (Autor:in) / Jiang, Qi (Autor:in)

    Kongress:

    Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023) ; 2023 ; Wuhan, China


    Erschienen in:

    Proc. SPIE ; 12803


    Erscheinungsdatum :

    16.10.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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    Freier Zugriff