Skip to main content

Research Repository

Advanced Search

Automated construction of variable density navigable networks in a 3D indoor environment for emergency response

Boguslawski, Pawel; Mahdjoubi, Lamine; Zverovich, Vadim; Fadli, Fodil

Authors

Pawel Boguslawski

Fodil Fadli



Abstract

Widespread human-induced or natural threats on buildings and their users have made preparedness and quick response as crucial issues for saving human lives. Available information about an emergency scene, e.g. the building structure, material and trapped people helps for decision-making and organizing rescue operations. The ability to evaluate potential scenarios for human evacuation, and then identifying the paths of egress during an emergency is critical for rescue and emergency services. Good quality models supporting real, or near-real, time decision-making and allowing the implementation of automated methods are highly desirable. In this paper, we propose a new automated method for deriving a navigable network in a 3D indoor environment, including a full 3D topological model which may be used not only for standard navigation but also for finding alternative egress routes and simulating phenomena associated with disasters such as fire spread and heat transfer.

Citation

Boguslawski, P., Mahdjoubi, L., Zverovich, V., & Fadli, F. (2016). Automated construction of variable density navigable networks in a 3D indoor environment for emergency response. Automation in Construction, 72(2), 115-128. https://doi.org/10.1016/j.autcon.2016.08.041

Journal Article Type Article
Acceptance Date Aug 24, 2016
Online Publication Date Sep 3, 2016
Publication Date Dec 1, 2016
Journal Automation in Construction
Print ISSN 0926-5805
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 72
Issue 2
Pages 115-128
DOI https://doi.org/10.1016/j.autcon.2016.08.041
Keywords navigable networks, indoor navigation, emergency response, 3D modelling, topological models
Public URL https://uwe-repository.worktribe.com/output/905347
Publisher URL http://dx.doi.org/10.1016/j.autcon.2016.08.041

Files







You might also like



Downloadable Citations