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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    Title :

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


    Contributors:
    Sha, Junlin (author) / Dong, Dongyan (author) / Zhang, Yue (author)

    Conference:

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


    Published in:

    Proc. SPIE ; 12350


    Publication date :

    2022-10-20





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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