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AuthorBoguslawski, Pawel
AuthorMahdjoubi, Lamine
AuthorZverovich, Vadim
AuthorFadli, Fodil
Available date2017-01-05T10:19:12Z
Publication Date2016-12
Publication NameAutomation in Constructionen_US
Identifierhttp://dx.doi.org/10.1016/j.autcon.2016.08.041
CitationPawel Boguslawski, Lamine Mahdjoubi, Vadim Zverovich, Fodil Fadli, Automated construction of variable density navigable networks in a 3D indoor environment for emergency response, Automation in Construction, Volume 72, Part 2, December 2016, Pages 115-128
ISSN09265805
URIhttp://www.sciencedirect.com/science/article/pii/S0926580516301959
URIhttp://hdl.handle.net/10576/5149
AbstractWidespread human-induced or natural threats on buildings and their users have made preparedness and rapid response crucial issues for saving human lives. The ability to identify the paths of egress during an emergency is critical for rescue and emergency services. Quality models supporting real, or near-real, time decision making and allowing the implementation of automated methods are very important. In this paper, we propose a novel automated construction of the Variable Density Network (VDN) for determining egress paths in dangerous environments. VND is used for deriving a navigable network in an indoor building environment, including a full 3D topological model. The accuracy of the proposed paths prediction tool was compared with key methods for navigable network generation, using the actual floor plan of Doha World Trade Centre. Findings revealed that in comparison to prevailing approaches, a key benefit from this approach is an increased prediction accuracy of egress route planning.
SponsorThis research/publication was made possible by a National Priority Research Program NPRP award [NPRP-06-1208-2-492] from the Qatar National Research Fund (a member of The Qatar Foundation).
Languageen
PublisherElsevier
SubjectNavigable networks
SubjectIndoor navigation
SubjectEmergency response
Subject3D modelling
SubjectTopological models
TitleAutomated construction of variable density navigable networks in a 3D indoor environment for emergency response
TypeArticle
Pagination115-128
Volume Number72


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