Crowd Management Using Fuzzy Logic And G.I.S.
Price
Free (open access)
Volume
43
Pages
10
Page Range
325 - 334
Published
2010
Size
1379 kb
Paper DOI
10.2495/RISK100281
Copyright
WIT Press
Author(s)
N. P. Deshpande & R. Gupta
Abstract
Crowd management using
fuzzy logic and GIS
N. P. Deshpande & R. Gupta
Civil Engineering Department, BITS Pilani, India
Abstract
Our main objective is to design a computer based system to monitor the
crowding system so as to avoid crowding disasters.
We have proposed a two-step mode. The first step is ‘pre-disaster planning’
including determination of sensitive locations and space management,
evacuation paths using GIS and management related arrangements. The second
step is real time analysis of crowds to detect a possible emergency. It contains
two modules, the first being a method to determine crowding situations and plan
of action, and the second being the determination of the shortest evacuation path
for the current area under surveillance. In the fuzzy inference system, used in
determining crowding situation, crowd density is determined with the help of a
number of pixels and shape of objects. For determining speed and cumulative
displacement a new method is named ‘determination of speed and displacement
from images with help of object characterization’. The shortest path is
determined with the help of GIS and the overall crowding situation. We have
considered two case studies:
1) Open air theatre: this particular case study was considered to get better
understanding of general crowd movement patterns in the absence of
crowd management systems and possible sensitive locations.
2) Auditorium: this case study was used to check the applicability of the
overall project and to determine an evacuation path network. While
applying this case study we checked for results such as accuracy and
usability of components of the project such as crowd density
determination, fuzzy inference system, Determination of speed and
displacement etc., and overall usability.
Keywords: crowd management, crowd density, movement detection, image
processing, use of fuzzy logic, GIS application.
Keywords
crowd management, crowd density, movement detection, imageprocessing, use of fuzzy logic, G.I.S. application