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- W4386381504 abstract "Rural transportation demand is generally scarce and spatially distributed. These features make it hard for quality flexible transportation systems to be viable. To palliate this, we propose the optimization of demand-responsive transportation systems through the dynamic allocation of transfer points. With that, transportation providers could reduce system resources and thus operational costs by the introduction of passenger transfers that couple current displacement demand. In this line, the paper analyzes previous research on the allocation of transfer points for rural demand-responsive mobility, while also presenting a formal definition of the problem and an architecture to develop a future solution. In addition, the challenges that flexible transportation faces in rural areas are assessed. Our goal is to make progress toward developing new artificial intelligence-based solutions to optimize flexible rural transportation, a generally neglected field of research." @default.
- W4386381504 created "2023-09-02" @default.
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- W4386381504 date "2023-01-01" @default.
- W4386381504 modified "2023-10-03" @default.
- W4386381504 title "Dynamic Transfer Point Allocation for Rural Demand-Responsive Mobility" @default.
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- W4386381504 doi "https://doi.org/10.1007/978-3-031-36957-5_39" @default.
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