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Column generation for real-time ride-sharing operations

Connor Riley, Antoine Legrain et Pascal Van Hentenryck

Communication écrite (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.

Matériel d'accompagnement:
Département: Département de mathématiques et de génie industriel
ISBN: 9783030192129
URL de PolyPublie: https://publications.polymtl.ca/43849/
Nom de la conférence: 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2019)
Lieu de la conférence: Thessaloniki, Greece
Date(s) de la conférence: 2019-06-04 - 2019-06-07
Maison d'édition: Springer Verlag
DOI: 10.1007/978-3-030-19212-9_31
URL officielle: https://doi.org/10.1007/978-3-030-19212-9_31
Date du dépôt: 18 avr. 2023 15:02
Dernière modification: 17 mars 2026 15:05
Citer en APA 7: Riley, C., Legrain, A., & Van Hentenryck, P. (juin 2019). Column generation for real-time ride-sharing operations [Communication écrite]. 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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