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The initial
distribution of the
people
The choosing
circumstances of
the people
Fig. 2. The circumstances of people's choosing different exits
kk in the exit
attraction function and these parameters directly influence the results of the simula-
tion. However, there isn't a standard in the real circumstances. What we can do is to
summarize an experiential standard by ways of watching some evacuation videos and
so on. Therefore, we do many times of simulation and make the parameter values of
the simulation which we consider is the most close to the real case.
We need to determine some parameters in our model, such as the
12
3 Compare to the Classical Models
In order to test the rationality of our model, we apply the classical Social Force
Model, Cellular Automata Model and our model to the same initial evacuation condi-
tions and then compare the results of different models.
In a square room with the edge length 20m, we assume there is a huge obstacle at
the center of the room which has an area of about 28 square meters. At the very be-
ginning, the people are in the left side of the obstacle and the exit is in the right side
of the obstacle. The results of the three models are shown in Figure 3:
Cellular Automata Model
Social Force Model
Our Model
Initial People Distribution
The people are able to
avoid the obstacle in the
tangential direction
The path of avoiding the
obstacle is not ideal
The people are able to
avoid the obstacle
Fig. 3. The comparison of the results of the three models
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