Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/39572
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dc.contributor.authorZhao, H-
dc.contributor.authorGalland, S-
dc.contributor.authorKNAPEN, Luk-
dc.contributor.authorBELLEMANS, Tom-
dc.contributor.authorYASAR, Ansar-
dc.date.accessioned2023-02-21T14:53:23Z-
dc.date.available2023-02-21T14:53:23Z-
dc.date.issued2018-
dc.date.submitted2023-02-21T08:57:17Z-
dc.identifier.citationShakshuri, Elhadi; Yasar, Ansar (Ed.). The 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) / The 8th International Conference on Sustainable Energy Information Technology (SEIT-2018) / Affiliated Workshops, Elsevier Science BV, p. 979 -984-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/1942/39572-
dc.description.abstractWhen simulating individuals' daily plan, lots of unexpected events need to be considered, like traffic jam and weather changes. Therefore, there will be a mismatch between the original plan and the executed one. Faced with this situation, individuals need to adjust the rest of the activities to make a new schedule. This paper analyzes the causes of rescheduling, and establishes a new rescheduling model, combining strengths of existing rescheduling models. The model in this paper considers the rescheduling possibilities and choices as much as possible. It takes time pressure and schedule similarity into consideration when updating a schedule. Furthermore, this paper analyzes joint trip/activity execution by studying the cooperation between agents during the rescheduling process. (C) 2018 The Authors. Published by Elsevier B.V.-
dc.description.sponsorshipThis work is supported by the China Scholarship Council Grant 201604490095.-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE BV-
dc.relation.ispartofseriesProcedia Computer Science-
dc.rights2018 The authors. Published by Elsevier B.V.-
dc.subject.otherDaily Activity Schedule-
dc.subject.otherRescheduling-
dc.subject.otherAgent-based Model-
dc.subject.otherCoordination-
dc.subject.otherTravel Demand Prediction-
dc.titleAgent-based Dynamic Rescheduling of Daily Activities-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsShakshuki, Elhadi-
local.bibliographicCitation.authorsYasar, Ansar-
dc.identifier.epage984-
dc.identifier.spage979-
dc.identifier.volume130-
local.format.pages6-
local.bibliographicCitation.jcatC1-
local.publisher.placeSARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr130-
dc.identifier.doi10.1016/j.procs.2018.04.100-
dc.identifier.isi000684379100129-
dc.identifier.eissn-
local.provider.typeWeb of Science-
local.bibliographicCitation.btitleThe 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) / The 8th International Conference on Sustainable Energy Information Technology (SEIT-2018) / Affiliated Workshops-
local.uhasselt.internationalyes-
item.validationecoom 2022-
item.contributorZhao, H-
item.contributorGalland, S-
item.contributorKNAPEN, Luk-
item.contributorBELLEMANS, Tom-
item.contributorYASAR, Ansar-
item.fullcitationZhao, H; Galland, S; KNAPEN, Luk; BELLEMANS, Tom & YASAR, Ansar (2018) Agent-based Dynamic Rescheduling of Daily Activities. In: Shakshuri, Elhadi; Yasar, Ansar (Ed.). The 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) / The 8th International Conference on Sustainable Energy Information Technology (SEIT-2018) / Affiliated Workshops, Elsevier Science BV, p. 979 -984.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1877-0509-
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