Route planning is the key technical difficulty of logistics distribution. In this paper, a mathematical model is established for road network selection and real-time path planning. The improved genetic algorithm is used to select the road network of rail transit. Based on the traditional ant colony algorithm, the time-varying factor and line risk factor are introduced to improve the algorithm in line with real-time path planning. The experimental results show that the improved algorithm can change the route more quickly and accurately according to the real-time traffic changes to effectively improve the logistics transportation efficiency for complex routes and traffic conditions, and save the transportation cost.


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    Titel :

    Simulation of rail-road intermodal distribution based on real-time routing algorithm


    Beteiligte:
    Sha, Junlin (Autor:in) / Dong, Dongyan (Autor:in) / Zhang, Yue (Autor:in)

    Kongress:

    6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022) ; 2022 ; Qingdao,China


    Erschienen in:

    Proc. SPIE ; 12350


    Erscheinungsdatum :

    2022-10-20





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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