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- W4361024046 abstract "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." @default.
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- W4361024046 date "2023-06-01" @default.
- W4361024046 modified "2023-10-16" @default.
- W4361024046 title "Dynamic Clustering Meeting Points Strategy to Improve Operational Service Capability of Flex-Route Transit" @default.
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- W4361024046 doi "https://doi.org/10.1061/jtepbs.teeng-7692" @default.
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