  The simulation of pedestrian crowd that reflects reality is a major challenge
for researches. Several crowd simulation models have been proposed such as
cellular automata model, agent-based model, fluid dynamic model, etc. It is
important to note that agent-based model is able, over others approaches, to
provide a natural description of the system and then to capture complex human
behaviors. In this paper, we propose a multi-agent simulation model in which
pedestrian positions are updated at discrete time intervals. It takes into
account the major normal conditions of a simple pedestrian situated in a crowd
such as preferences, realistic perception of environment, etc. Our objective is
to simulate the pedestrian crowd realistically towards a simulation of
believable pedestrian behaviors. Typical pedestrian phenomena, including the
unidirectional and bidirectional movement in a corridor as well as the flow
through bottleneck, are simulated. The conducted simulations show that our
model is able to produce realistic pedestrian behaviors. The obtained
fundamental diagram and flow rate at bottleneck agree very well with classic
conclusions and empirical study results. It is hoped that the idea of this
study may be helpful in promoting the modeling and simulation of pedestrian
crowd in a simple way.
