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Column generation for real-time ride-sharing operations

Connor Riley, Antoine Legrain and Pascal Van Hentenryck

Paper (2019)

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Abstract

This paper considers real-time dispatching for large-scale ride-sharing services over a rolling horizon. It presents RTDARS which relies on a column-generation algorithm to minimize wait times while guaranteeing short travel times and service for each customer. Experiments using historic taxi trips in New York City for instances with up to 30,000 requests per hour indicate that the algorithm scales well and provides a principled and effective way to support large-scale ride-sharing services in dense cities.

Supplementary Material:
Department: Department of Mathematics and Industrial Engineering
ISBN: 9783030192129
PolyPublie URL: https://publications.polymtl.ca/43849/
Conference Title: 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2019)
Conference Location: Thessaloniki, Greece
Conference Date(s): 2019-06-04 - 2019-06-07
Publisher: Springer Verlag
DOI: 10.1007/978-3-030-19212-9_31
Official URL: https://doi.org/10.1007/978-3-030-19212-9_31
Date Deposited: 18 Apr 2023 15:02
Last Modified: 17 Mar 2026 15:05
Cite in APA 7: Riley, C., Legrain, A., & Van Hentenryck, P. (2019, June). Column generation for real-time ride-sharing operations [Paper]. 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2019), Thessaloniki, Greece. https://doi.org/10.1007/978-3-030-19212-9_31

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