Print Email Facebook Twitter Optimizing a vehicle’s route in an on-demand ridesharing system in which users might walk Title Optimizing a vehicle’s route in an on-demand ridesharing system in which users might walk Author Fielbaum, Andres (TU Delft Learning & Autonomous Control) Date 2021 Abstract Within the context of a shared on-demand transport system, we study the problem of selecting the stopping points from which passengers should walk to their exact destinations (or from their exact origins). We focus on the single-vehicle case that must follow a predefined order of requests, posing the mathematical program, showing that it can be solved in polynomial time and proposing a heuristic that runs faster. We compare the optimal algorithm, the heuristic, and the routes that visit the exact request points, and we show that avoiding detours can reduce total costs by almost one fifth and vehicle costs by more than one third. The heuristic yields competitive results. Simulations over the real street network from Manhattan show that the time reduction achieved by the heuristic might be crucial to enable the system to operate in real-time. Subject Detouron-demandpick-up and drop-offridesharingwalking To reference this document use: http://resolver.tudelft.nl/uuid:79ad5f4f-1a0b-47c4-9978-11fcebaa2ac1 DOI https://doi.org/10.1080/15472450.2021.1901225 ISSN 1547-2450 Source Journal of Intelligent Transportation Systems: technology, planning, and operations, 26 (2022) (4), 432-447 Part of collection Institutional Repository Document type journal article Rights © 2021 Andres Fielbaum Files PDF 15472450.2021.pdf 3.01 MB Close viewer /islandora/object/uuid:79ad5f4f-1a0b-47c4-9978-11fcebaa2ac1/datastream/OBJ/view