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http://hdl.handle.net/1942/20990
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DC Field | Value | Language |
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dc.contributor.author | ECTORS, Wim | - |
dc.contributor.author | KOCHAN, Bruno | - |
dc.contributor.author | KNAPEN, Luk | - |
dc.contributor.author | JANSSENS, Davy | - |
dc.contributor.author | BELLEMANS, Tom | - |
dc.date.accessioned | 2016-04-13T13:51:17Z | - |
dc.date.available | 2016-04-13T13:51:17Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Procedia Computer Science, p. 34-41 | - |
dc.identifier.issn | 1877-0509 | - |
dc.identifier.uri | http://hdl.handle.net/1942/20990 | - |
dc.description.abstract | Many activity-based models start by scheduling inflexible or mandatory activities (if present), before more flexible activities. Often work and educational activities are assumed as most stringent and recognized as the only mandatory activities. According to this definition, only 45% of all schedules contains a mandatory activity (OVG single-day travel survey in Flanders, Belgium). This means 55% of schedules does not have a traditional mandatory-flexible activity structure. This research proposes a completely data-driven approach to reveal the real basic structure of individuals’ schedules, i.e. the skeleton schedule sequence. To this end, a sequential clustering algorithm was developed. Furthermore, an in-depth analysis of the parameter settings was performed. The proposed method reveals a set of skeleton activity schedules and confirms the importance of work and education. | - |
dc.language.iso | en | - |
dc.relation.ispartofseries | Procedia Computer Science | - |
dc.rights | © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | - |
dc.subject.other | skeleton schedules; activity patterns; mandatory activities; activity-based modeling | - |
dc.title | A generic data-driven sequential clustering algorithm determining activity skeletons | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 23-26 May 2016 | - |
local.bibliographicCitation.conferencename | The 7th International Conference on Ambient Systems, Networks and Technologies (ANT 2016) | - |
local.bibliographicCitation.conferenceplace | Madrid, Spain | - |
dc.identifier.epage | 41 | - |
dc.identifier.spage | 34 | - |
local.bibliographicCitation.jcat | C1 | - |
dc.description.notes | Ectors, W (reprint author), Hasselt Univ, Transportat Res Inst, Wetenschapspk 5 Box 6, B-3590 Diepenbeek, Belgium. wim.ectors@uhasselt.be | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 83 | - |
dc.identifier.doi | 10.1016/j.procs.2016.04.096 | - |
dc.identifier.isi | 000387655000004 | - |
local.bibliographicCitation.btitle | Procedia Computer Science | - |
item.validation | ecoom 2017 | - |
item.fulltext | With Fulltext | - |
item.fullcitation | ECTORS, Wim; KOCHAN, Bruno; KNAPEN, Luk; JANSSENS, Davy & BELLEMANS, Tom (2016) A generic data-driven sequential clustering algorithm determining activity skeletons. In: Procedia Computer Science, p. 34-41. | - |
item.accessRights | Open Access | - |
item.contributor | ECTORS, Wim | - |
item.contributor | KOCHAN, Bruno | - |
item.contributor | KNAPEN, Luk | - |
item.contributor | JANSSENS, Davy | - |
item.contributor | BELLEMANS, Tom | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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1-s2.0-S1877050916301193-main.pdf | Published version | 187.22 kB | Adobe PDF | View/Open |
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