In existing non-real-time response customized bus planning research, only the direct line planning problem of passengers with a single starting and ending point, vehicle type and sub-path is generally considered, while ignoring the development of diversified line operation modes. Based on the theory of conventional bus planning, this paper refers to the vehicle routing problem (VRP) model, combines with the characteristics of customized bus operation, constructs a customized bus line planning model considering multiple starting and ending points, multiple vehicle types, passenger mixed loading and multiple path selection operation modes, and uses genetic algorithm to solve the model. Finally, an example is used for analysis. The results show that the average number of stops in this model is small and the load factor is above 70%, which proves that the model can obtain a more ideal line operation plan. Compared with the driving scheme of a single sub-path that only considers the shortest time and the shortest driving distance, considering multiple sub-paths can select an optimal solution that balances the driving distance and driving time. The research results of this paper can enrich the operation mode of customized buses, increase the flexibility of vehicle allocation and line integration of operation enterprises while expanding the coverage of passenger travel demand, and effectively improve the response volume of passenger demand and the degree of enterprise benefits.


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    Titel :

    Research on customized bus route planning considering multiple path selection


    Beteiligte:
    Mikusova, Miroslava (Herausgeber:in) / Zhan, Zhijun (Autor:in) / Chen, Shiyu (Autor:in)

    Kongress:

    International Conference on Smart Transportation and City Engineering (STCE 2023) ; 2023 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 13018


    Erscheinungsdatum :

    2024-02-14





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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