  In recent years modelling crowd and evacuation dynamics has become very
important, with increasing huge numbers of people gathering around the world
for many reasons and events. The fact that our global population grows
dramatically every year and the current public transport systems are able to
transport large amounts of people, heightens the risk of crowd panic or crush.
Pedestrian models are based on macroscopic or microscopic behaviour. In this
paper, we are interested in developing models that can be used for evacuation
control strategies. This model will be based on microscopic pedestrian
simulation models, and its evolution and design requires a lot of information
and data. The people stream will be simulated, based on mathematical models
derived from empirical data about pedestrian flows. This model is developed
from image data bases, so called empirical data, taken from a video camera or
data obtained using human detectors. We consider the individuals as autonomous
particles interacting through social and physical forces, which is one approach
that has been used to simulate crowd behaviour.
