Determining Public Structure Crowd Evacuation Capacity
H. Pejman Kamkarian. International Journal of Advanced Computer Science and Applications(IJACSA), (2013)
Abstract
This paper explores a strategy for determining public space safety. Due to varied purposes and locations, each public space has architecture as well as facilities. A generalized analysis of capacities for public spaces is essential. The method we propose is to examine a public space with a given architecture. We used Bayesian Belief Network to determine the level of safety and identify points of weakness in public spaces.
%0 Journal Article
%1 IJACSA.2013.041024
%A Pejman Kamkarian, Henry Hexmoor
%D 2013
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K Bayesian Belief Crowd Evacuation, Public Revision Safety,Networks Space of
%N 10
%T Determining Public Structure Crowd Evacuation Capacity
%U http://ijacsa.thesai.org/
%V 4
%X This paper explores a strategy for determining public space safety. Due to varied purposes and locations, each public space has architecture as well as facilities. A generalized analysis of capacities for public spaces is essential. The method we propose is to examine a public space with a given architecture. We used Bayesian Belief Network to determine the level of safety and identify points of weakness in public spaces.
@article{IJACSA.2013.041024,
abstract = {This paper explores a strategy for determining public space safety. Due to varied purposes and locations, each public space has architecture as well as facilities. A generalized analysis of capacities for public spaces is essential. The method we propose is to examine a public space with a given architecture. We used Bayesian Belief Network to determine the level of safety and identify points of weakness in public spaces.},
added-at = {2014-02-21T08:00:08.000+0100},
author = {{Pejman Kamkarian}, Henry Hexmoor},
biburl = {https://www.bibsonomy.org/bibtex/2193f139a3b6e80f492081241b9fbdf33/thesaiorg},
interhash = {2978a86108566854f9ba5f2861d48ed6},
intrahash = {193f139a3b6e80f492081241b9fbdf33},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {Bayesian Belief Crowd Evacuation, Public Revision Safety,Networks Space of},
number = 10,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{Determining Public Structure Crowd Evacuation Capacity}},
url = {http://ijacsa.thesai.org/},
volume = 4,
year = 2013
}