Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/104758
Title: Analysing the effectiveness of wearable wireless sensors in controlling crowd disasters
Authors: Angela, Teo Yu Hui
Viswanathan, Vaisagh
Lees, Michael
Cai, Wentong
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Source: Angela, T. Y. H., Viswanathan, V., Lees, M., & Cai, W. (2014). Analysing the Effectiveness of Wearable Wireless Sensors in Controlling Crowd Disasters. Procedia Computer Science, 29, 1590-1599.
Series/Report no.: Procedia computer science
Abstract: The Love Parade disaster in Duisberg, Germany lead to several deaths and injuries. Disasters like this occur due to the existence of high densities in a limited area. We propose a wearable electronic device that helps reduce such disasters by directing people and thus controlling the density of the crowd. We investigate the design and effectiveness of such a device through an agent based simulation using social force. We also investigate the effect of device failure and participants not paying attention in order to determine the critical number of devices and attentive participants required for the device to be effective.
URI: https://hdl.handle.net/10356/104758
http://hdl.handle.net/10220/20327
ISSN: 1877-0509
DOI: 10.1016/j.procs.2014.05.144
Rights: © 2014 The Authors. This paper was published in Procedia Computer Science and is made available as an electronic reprint (preprint) with permission of the Authors. The paper can be found at the following official DOI: [http://dx.doi.org/10.1016/j.procs.2014.05.144]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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