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• W2928108424 abstract "Ride sharing has been widely studied in academia and applied in mobility-on-demand (MoD) systems as a means of reducing the number of cars, congestion, and pollution by sharing empty seats. Solving this problem is challenging on large-scale road networks for the following two reasons: distance calculation on large-scale road networks is time consuming; and multi-request allocation and multi-point planning have been proved to be NP-hard problems. In this paper, we propose a clustering-based request matching and route planning algorithm Roo that considers spatial-temporal distances between ride requests on road networks. The Roo algorithm is evaluated with real-world taxi trajectory data and road networks from New York City and Beijing. The results show that Roo can save up to 50% of mileage by 1000 vehicles serving around 7000 trip requests in New York City between 7:40 am to 8:00 am with average waiting time of 4 minutes." @default.
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• W2928108424 date "2019-02-01" @default.
• W2928108424 modified "2023-09-23" @default.
• W2928108424 title "Roo: Route Planning Algorithm for Ride Sharing Systems on Large-Scale Road Networks" @default.
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• W2928108424 doi "https://doi.org/10.1109/bigcomp.2019.8679187" @default.
• W2928108424 hasPublicationYear "2019" @default.
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