Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/191737
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Title

A Simulation Tool for Large-Scale Online Ridesharing

AuthorsBistaffa, Filippo CSIC ORCID ; Rodríguez-Aguilar, Juan Antonio CSIC ORCID CVN ; Cerquides, Jesús CSIC ORCID ; Blum, Christian CSIC ORCID
Issue DateJul-2018
CitationAAMAS '18 Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems
AbstractRidesharing is a prominent collective intelligence application producing significant benefits both for individuals (reduced costs) and for the entire community (reduced pollution and traffic). We tackle the online ridesharing (ORS) problem with the objective of forming cost-effective shared rides among commuters that submit requests to be served in a short time period (i.e., in a few minutes). We demonstrate a web-based simulation tool that computes and shows cost-effective shared cars along with the optimal path for each car. Our tool internally employs an online optimisation approach that can tackle large-scale ORS problems originating from real-world data (i.e., with ~400 requests per minute). Specifically, our simulation tool uses data from a real-world dataset, i.e., the New York City taxi dataset.
Publisher version (URL)http://ifaamas.org/Proceedings/aamas2018/pdfs/p1797.pdf
URIhttp://hdl.handle.net/10261/191737
Appears in Collections:(IIIA) Comunicaciones congresos




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