  Crowd simulation is used for evacuation and crowd safety inspections, study
of performance in crowd systems and animations. Cellular automata has been
extensively used in modelling the crowd. In regular cellular automata models,
each pedestrian occupies a single cell with the size of a pedestrian body.
Since the space is divided into relatively large cells, the movements of
pedestrians look like the movements of pieces on a chess board. Furthermore,
all pedestrians have the same body size and speed. In this paper, a method
called fine grid cellular automata is proposed in which smaller cells are used
and pedestrian body may occupy several cells. The model allows the use of
different body sizes, shapes and speeds for pedestrian.
  The proposed model is used for simulating movements of pedestrians toward a
target. A typical walkway scenario is used to test and evaluate the model. The
movements of pedestrians are smoother because of the finer grain discretization
of movements and the simulation results match empirical speed-density graphs
with good accuracy.
