Zakaria, Wahida
(2020)
Behavioural Factors Based Crowd
Evacuation Modelling Using
Fuzzy-Neural Approach.
PhD thesis, Universiti Sains Malaysia.
Abstract
Crowd studies on evacuation have attracted researchers from many fields of study
that aim to simulate reality phenomena of escape panic during the evacuation. The
main factor being analyzed is the crowd behaviour. Early studies of crowd behaviour
have started to imitate reality behaviour patterns of evacuation such as following,
queuing and herding. This studies have a little understanding on the crowd behaviour
patterns from the psychological perspective on the emotions influences under stressful
situation which may result in different behavioural actions. In addition, the
simulations results in earlier studies are shown in a single screen which are then
validated qualitatively through observation by interview respond or survey. The main
reason for such evaluation is to check on the similarity of the behavioural patterns. In
later advancement of technology such as surveillance camera, the simulations of
behavioural pattern produced are comparable side by side to the real videos.
Nevertheless, the validation method still remain as qualitative due to the challenges in
tracking peoples movement during the evacuation which is needed for accuracy
validation against the reality evacuation. Therefore, the main goal of this study is to
propose a crowd evacuation modelling (CEM) that derived from psychological theory
of emotions which incorporated human behavioural factors namely physical,
environment, psychology and perception. The emotions considered are panic and
confuse which react to the threatening situation using fuzzy logic approach. Fuzzy
logic approach is well-known in handling uncertainties and complex problem which
suit well in modelling human behaviours.
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