Highlights Propose an integrated decision-making framework for the demand-responsive customized bus network design. Formulate the network design problem as a two-phase optimization model. Formulate the interactive mechanism between the operator and passengers in a hierarchical decision-making model.

    Abstract This paper proposes a new optimization model for the network design problem of the demand-responsive customized bus (CB). The proposed model consists of two phases: inserting passenger requests dynamically in an interactive manner (dynamic phase) and optimizing the service network statically based on the overall demand (static phase). In the dynamic phase, we propose a hierarchical decision-making model to describe the interactive manner between operator and passengers. The CB network design problem is formulated in a mixed-integer program with the objective of maximizing operator’s revenue. The CB passenger’s travel behavior is measured by a discrete choice model given the trip plan provided by the operator. A dynamic insertion method is developed to address the proposed model in the dynamic phase. For the network design problem in the static phase, the service network is re-optimized based on the confirmed passengers with strict time deviation constraints embedded in the static multi-vehicle pickup and delivery problem. An exact solution method is developed based on the branch-and-bound (B&B) algorithm. Numerical examples are conducted to verify the proposed models and solution algorithms.


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    Title :

    A two-phase optimization model for the demand-responsive customized bus network design


    Contributors:
    Huang, Di (author) / Gu, Yu (author) / Wang, Shuaian (author) / Liu, Zhiyuan (author) / Zhang, Wenbo (author)


    Publication date :

    2019-12-08


    Size :

    21 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English