To improve the operational service capability of flex-route transit under the condition of uncertain and inhomogeneous passenger travel demand, a dynamic meeting points optimization solution is proposed. This solution can set dynamic pickup and drop-off meeting points according to real-time travel demand. The flex-route transit operation mode is described in detail and is divided into a two-stage optimization problem. Mixed integer programming is employed to formulate the problem with a twofold objective—(1) serve as many requests as possible; and (2) minimize the time cost of the accepted passengers. An improved memetic solution algorithm is proposed for the model constructed. Computational results based on real-world cases show that the dynamic clustering meeting points solution breaks the space constraints of the original pickup and drop-off points of passengers and can significantly reduce the proportion of passenger reservation requests rejected without increasing operation cost.


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    Title :

    Dynamic Clustering Meeting Points Strategy to Improve Operational Service Capability of Flex-Route Transit


    Additional title:

    J. Transp. Eng., Part A: Systems


    Contributors:
    Zhang, Jin (author) / Li, Wenquan (author) / Zheng, Yue (author) / Guo, Rongrong (author)


    Publication date :

    2023-06-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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