Output details
11 - Computer Science and Informatics
Manchester Metropolitan University
Article title
Mutual information for the detection of crush
Type
D - Journal article
Title of journal
PLoS ONE
Article number
-
Volume number
6
Issue number
12
First page of article
e28747
ISSN of journal
1932-6203
Year of publication
2011
URL
-
Number of additional authors
2
Additional information
<25>Core work from Ph.D. thesis of Harding (successfully defended November 2011). Describes a computationally “cheap” method for detecting crush in in-silico simulations of evacuations, and is one of the first applications of mutual information to the study of crowd behaviour. Highlighted at time of publication on MIT Technology Review blog. Could offer significant benefits in terms of future crowd safety, as our method allows for rapid detection of the onset of crush conditions in crowd simulations, without the need for complex physical force calculations. Describes a comprehensive computational platform, extensively validated against well-documented historical events.
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Biological and Sensory Computation
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
