Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24095
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dc.contributor.authorCICH, Glenn-
dc.contributor.authorKNAPEN, Luk-
dc.contributor.authorMaciejewski, Michał-
dc.contributor.authorYASAR, Ansar-
dc.contributor.authorBELLEMANS, Tom-
dc.contributor.authorJANSSENS, Davy-
dc.date.accessioned2017-08-07T08:20:42Z-
dc.date.available2017-08-07T08:20:42Z-
dc.date.issued2017-
dc.identifier.citationProcedia Computer Science, Elsevier B.V.,p. 1074-1079-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/1942/24095-
dc.description.abstractDemand responsive collective transportation might be a solution to serve thin flows that occur when the average demand per time unit for travel between particular locations is small. Small capacity and/or specially equipped vehicles are deployed to serve low population density areas and mobility impaired passengers. The variability of the demand and the low vehicle capacity require daily optimal planning of routes. The cost for daily tours heavily depends on the temporal and spatial distribution of the demand. This paper proposes a co-simulation model to evaluate the profitability of thin flow service providers over multiple years of operation under specific condition of public compensation (subsidizing).-
dc.description.sponsorshipThe research reported was partially co-funded within ERA-NET Transport III Flagship Call 2013 “Future Traveling”, project: “Smart-PT - Smart Adaptive Public Transport”, under grant IWT 135026 (Belgium) and NCBR ERA-NET-TRANSPORT-III/2/2014 (Poland).-
dc.language.isoen-
dc.publisherElsevier B.V.-
dc.relation.ispartofseriesProcedia Computer Science-
dc.rights© 2017 The Authors. Published by Elsevier B.V-
dc.subject.otherco-simulation; SARL; MATSim; agent-based modeling; demand responsive transport, thin flows, dynamic vehicle routing-
dc.titleModeling Demand Responsive Transport using SARL and MATSim-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate16-19/05/2017-
local.bibliographicCitation.conferencenameInternational Workshop on Agent-based Modeling and Applications with SARL (SARL 2017)-
local.bibliographicCitation.conferenceplaceMadeira, Portugal-
dc.identifier.epage1079-
dc.identifier.spage1074-
local.bibliographicCitation.jcatC1-
dc.description.notesCich, G (reprint author), Hasselt Univ, Transportat Res Inst IMOB, Agoralaan, B-3590 Diepenbeek, Belgium. glenn.cich@uhasselt.be-
local.publisher.placeAmsterdam, The Netherlands-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr109-
local.classdsPublValOverrule/author_version_not_expected-
dc.identifier.doi10.1016/j.procs.2017.05.387-
dc.identifier.isi000414533000144-
local.bibliographicCitation.btitleProcedia Computer Science-
item.fullcitationCICH, Glenn; KNAPEN, Luk; Maciejewski, Michał; YASAR, Ansar; BELLEMANS, Tom & JANSSENS, Davy (2017) Modeling Demand Responsive Transport using SARL and MATSim. In: Procedia Computer Science, Elsevier B.V.,p. 1074-1079.-
item.contributorCICH, Glenn-
item.contributorKNAPEN, Luk-
item.contributorMaciejewski, Michał-
item.contributorYASAR, Ansar-
item.contributorBELLEMANS, Tom-
item.contributorJANSSENS, Davy-
item.validationecoom 2018-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
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