Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15808
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dc.contributor.authorKNAPEN, Luk-
dc.contributor.authorKeren, D.-
dc.contributor.authorYASAR, Ansar-
dc.contributor.authorCHO, Sungjin-
dc.contributor.authorBELLEMANS, Tom-
dc.contributor.authorJANSSENS, Davy-
dc.contributor.authorWETS, Geert-
dc.date.accessioned2013-10-16T08:57:59Z-
dc.date.available2013-10-16T08:57:59Z-
dc.date.issued2013-
dc.identifier.citationShakshuki, Elhadi (Ed.). The 4th International Conference on Ambient Systems, Networks and Technologies (ANT 2013), the 3rd International Conference on Sustainable Energy Information Technology (SEIT-2013), Elsevier Science BV, p. 372-379-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/1942/15808-
dc.description.abstractAn automatic service to match commuting trips has been designed. Candidate carpoolers register their personal profile and a set of periodically recurring trips. The Global CarPooling Matching Service (GCPMS) shall advise registered candidates on how to combine their commuting trips by carpooling. Planned periodic trips correspond to nodes in a graph; the edges are labeled with the probability for negotiation success while trying to merge planned trips by carpooling. The probability values are calculated by a learning mechanism using on one hand the registered person and trip characteristics and on the other hand the negotiation feedback. The GCPMS provides advice by maximizing the expected value for negotiation success. This paper describes possible ways to determine the optimal advice and estimates computational scalability using real data for Flanders.-
dc.description.sponsorshipThe research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement nr 270833.-
dc.language.isoen-
dc.publisherElsevier Science BV-
dc.relation.ispartofseriesProcedia Computer Science-
dc.rights2013 The Authors. Published by Elsevier B.V. Open access under CC BY-NC-ND license.-
dc.titleEstimating Scalability Issues while Finding an Optimal Assignment for Carpooling-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsShakshuki, Elhadi-
local.bibliographicCitation.conferencedate25-28 June 2013-
local.bibliographicCitation.conferencenameANT 2013 The 4th International Conference on Ambient Systems, Networks and Technologies-
local.bibliographicCitation.conferenceplaceHalifax, Nova Scotia, Canada-
dc.identifier.epage379-
dc.identifier.spage372-
dc.identifier.volume19-
local.format.pages8-
local.bibliographicCitation.jcatC1-
local.publisher.placeARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr19-
local.type.programmehorizonEurope-
dc.identifier.doi10.1016/j.procs.2013.06.051-
dc.identifier.isi000361480500043-
local.bibliographicCitation.btitleThe 4th International Conference on Ambient Systems, Networks and Technologies (ANT 2013), the 3rd International Conference on Sustainable Energy Information Technology (SEIT-2013)-
local.uhasselt.internationalyes-
local.relation.horizonEurope270833-
item.validationecoom 2017-
item.contributorKNAPEN, Luk-
item.contributorKeren, D.-
item.contributorYASAR, Ansar-
item.contributorCHO, Sungjin-
item.contributorBELLEMANS, Tom-
item.contributorJANSSENS, Davy-
item.contributorWETS, Geert-
item.fullcitationKNAPEN, Luk; Keren, D.; YASAR, Ansar; CHO, Sungjin; BELLEMANS, Tom; JANSSENS, Davy & WETS, Geert (2013) Estimating Scalability Issues while Finding an Optimal Assignment for Carpooling. In: Shakshuki, Elhadi (Ed.). The 4th International Conference on Ambient Systems, Networks and Technologies (ANT 2013), the 3rd International Conference on Sustainable Energy Information Technology (SEIT-2013), Elsevier Science BV, p. 372-379.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1877-0509-
Appears in Collections:Research publications
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