The planning design of a one-way station-based hybrid fleet carsharing system (OSHFCS), which includes the planning distribution of charging infrastructure, electric vehicles (EVs), and internal combustion engine vehicles (ICEVs), poses a significant challenge for the OSHFCS operator. To address this challenge, this paper proposes an integer linear programming (ILP) solution based on the time-space network to optimize the planning process of the OSHFCS. In practice, the effective relocation of EVs can enable the operator to meet user reservations while operating under resource constraints. Therefore, we also consider vehicle relocation in the operation process. The case study in Chengdu demonstrates the applicability of the ILP model that uses Gurobi to solve this problem. Besides, we further analyze the impact of different user demands and monetary subsidization scenarios.


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    Titel :

    Optimization of planning design for one-way station-based hybrid fleet carsharing systems considering vehicle relocation


    Beteiligte:
    Sun, Yanan (Herausgeber:in) / Jiang, Bin (Herausgeber:in) / Li, Hao (Autor:in) / Hu, Lu (Autor:in) / Jiang, Yangsheng (Autor:in)

    Kongress:

    Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023) ; 2023 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 12923


    Erscheinungsdatum :

    08.11.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch