Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21048
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dc.contributor.authorCICH, Glenn-
dc.contributor.authorKNAPEN, Luk-
dc.contributor.authorGalland, S.-
dc.contributor.authorVUURSTAEK, Jan-
dc.contributor.authorNEVEN, An-
dc.contributor.authorBELLEMANS, Tom-
dc.date.accessioned2016-05-02T07:11:57Z-
dc.date.available2016-05-02T07:11:57Z-
dc.date.issued2016-
dc.identifier.citationProcedia Computer Science-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/1942/21048-
dc.description.abstractLow volume traveler flows cause problems for public transportation (PT) providers. The Smart-PT project aims to find out how such flows can be combined to increase the service provider viability. The capability to conceive multi-modal trips is fundamental in that context and is modeled by the Trip Sequence Composer (TSC) concept. A TSC is an essential component of the traveler’s brain, of the customer support operated by collective transport providers, of trip advisers in websites etc. We present a simulation model design to evaluate the effect of cooperating TSCs on the viability of demand responsive collective transport providers. While obeying specific regulations, specialized services targeting mobility impaired people can also serve regular requests in order to save fleet and personnel costs. All stakeholders are assumed to optimize their private objectives and none of them has global perfect knowledge.-
dc.description.sponsorshipThe research reported was partially funded by the IWT 135026 Smart-PT: Smart Adaptive Public Transport (ERANET Transport III Flagship Call 2013 “Future Traveling”).-
dc.language.isoen-
dc.relation.ispartofseriesProcedia Computer Science-
dc.rights© 2016 The Authors. Published by Elsevier B.V.-
dc.subject.otherdemand-responsive transport; thin flows; micro-simulation; agent-based modeling; organizational modeling-
dc.titleTowards an Agent-based Model for Demand-Responsive Transport Serving Thin Flows-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate23-26 May 2016-
local.bibliographicCitation.conferencenameThe 5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS 2016)-
local.bibliographicCitation.conferenceplaceMadrid, Spain-
local.format.pages6-
local.bibliographicCitation.jcatC1-
dc.description.notesCich, G (reprint author), Hasselt Univ, Transportat Res Inst IMOB, Wetenschapspk 5 Bus 6, B-3590 Diepenbeek, Belgium. glenn.cich@uhasselt.be-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.isi000387655000126-
local.bibliographicCitation.btitleProcedia Computer Science-
item.accessRightsRestricted Access-
item.validationecoom 2017-
item.fulltextWith Fulltext-
item.fullcitationCICH, Glenn; KNAPEN, Luk; Galland, S.; VUURSTAEK, Jan; NEVEN, An & BELLEMANS, Tom (2016) Towards an Agent-based Model for Demand-Responsive Transport Serving Thin Flows. In: Procedia Computer Science.-
item.contributorCICH, Glenn-
item.contributorKNAPEN, Luk-
item.contributorGalland, S.-
item.contributorVUURSTAEK, Jan-
item.contributorNEVEN, An-
item.contributorBELLEMANS, Tom-
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