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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/20990

Title: A generic data-driven sequential clustering algorithm determining activity skeletons
Authors: Ectors, Wim
Kochan, Bruno
Knapen, Luk
Janssens, Davy
Bellemans, Tom
Issue Date: 2016
Citation: Procedia Computer Science, p. 34-41
Series/Report: Procedia Computer Science
Series/Report no.: 83
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.
Notes: Ectors, W (reprint author), Hasselt Univ, Transportat Res Inst, Wetenschapspk 5 Box 6, B-3590 Diepenbeek, Belgium. wim.ectors@uhasselt.be
URI: http://hdl.handle.net/1942/20990
DOI: 10.1016/j.procs.2016.04.096
ISI #: 000387655000004
ISSN: 1877-0509
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2017
Appears in Collections: Research publications

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