Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models

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dc.contributor.authorJuřík, Vojtěchcs
dc.contributor.authorUhlík, Ondřejcs
dc.contributor.authorSnopková, Dajanacs
dc.contributor.authorKvarda, Ondřejcs
dc.contributor.authorApeltauer, Tomášcs
dc.contributor.authorApeltauer, Jiřícs
dc.coverage.issue3cs
dc.coverage.volume9cs
dc.date.accessioned2023-08-01T10:58:29Z
dc.date.available2023-08-01T10:58:29Z
dc.date.issued2023-03-03cs
dc.description.abstractAgent-based evacuation modeling represents an effective tool for making predictions about evacuation aspects of buildings such as evacuation times, congestions, and maximum safe building capacity. Collection of real behavioral data for calibrating agent-based evacuation models is time-consuming, costly, and completely impossible in the case of buildings in the design phase, where predictions about evacuation behavior are especially needed. In recent years evacuation experiments conducted in virtual reality (VR) have been frequently proposed in the literature as an effective tool for collecting data about human behavior. However, empirical studies which would assess validity of VR-based data for such purposes are still rare and considerably lacking in the agent-based evacuation modeling domain. This study explores opportunities that the VR behavioral data may bring for refining outputs of agent evacuation models. To this end, this study employed multiple input settings of agent-based evacuation models (ABEMs), including those based on the data gathered from the VR evacuation experiment that mapped out evacuation behaviors of individuals within the building. Calibration and evaluation of models was based on empirical data gathered from an original evacuation exercise conducted in a real building (N=35) and its virtual twin (N=38). This study found that the resulting predictions of single agent models using data collected in the VR environment after proposed corrections have the potential to better predict real-world evacuation behavior while offering desirable variance in the data outputs necessary for practical applications.en
dc.formattextcs
dc.format.extent1-14cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationHeliyon. 2023, vol. 9, issue 3, p. 1-14.en
dc.identifier.doi10.1016/j.heliyon.2023.e14275cs
dc.identifier.issn2405-8440cs
dc.identifier.orcid0000-0001-9047-4784cs
dc.identifier.orcid0000-0003-3186-2175cs
dc.identifier.orcid0000-0002-9791-4655cs
dc.identifier.other183025cs
dc.identifier.researcheridQ-2414-2015cs
dc.identifier.researcheridP-9965-2015cs
dc.identifier.scopus35067734400cs
dc.identifier.scopus56566688300cs
dc.identifier.urihttp://hdl.handle.net/11012/213651
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofHeliyoncs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2405844023014822cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2405-8440/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectpathfinderen
dc.subjectvirtual realityen
dc.subjectevacuation behavioren
dc.subjectagent modelingen
dc.subjectindoor navigationen
dc.subjectevacuation timeen
dc.titleAnalysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation modelsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-183025en
sync.item.dbtypeVAVen
sync.item.insts2023.08.01 12:58:29en
sync.item.modts2023.08.01 12:20:04en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav automatizace inženýrských úloh a informatikycs
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