Wu, Y;
Kang, J;
Wang, C;
(2018)
A crowd route choice evacuation model in large indoor building spaces.
Frontiers of Architectural Research
, 7
(2)
pp. 135-150.
10.1016/j.foar.2018.03.003.
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Abstract
Route choice is a fundamental requirement in the evacuation process. The aim of this paper is to identify a method to simulate crowds in large indoor spaces with consideration of the acoustic system. This paper first extends an existing cellular automaton model and proposes a cellular automaton crowd route choice model (CACR model) to simulate evacuees in large indoor spaces. It then defines a measure for evaluating the utility of evacuation time using the CACR model under different circumstances, such as a fire situation or different voice warning systems, which other commercial models cannot simulate. The analysis of the characteristics of a sound field in large indoor spaces is based on field measurements. An observation experiment in a gymnasium is employed to test the proposed model in a stadium evacuation scenario. The results demonstrate that the CACR model can accurately simulate the evacuation process in large indoor spaces under various circumstances.
| Type: | Article |
|---|---|
| Title: | A crowd route choice evacuation model in large indoor building spaces |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.foar.2018.03.003 |
| Publisher version: | http://doi.org/10.1016/j.foar.2018.03.003 |
| Language: | English |
| Additional information: | Copyright © 2018 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
| Keywords: | Crowd, Evacuation, Cellular automaton model, Sound, Voice warning system |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10052589 |
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