An Evacuation Simulation Based on Boltzmann Distribution - Advanced Research on Computer Education, Simulation and Modeling - page 333

From the above analysis, we can arrive at the conclusions that our model has
nearly the same simulation accuracy with the Social Force Model and the efficiency is
just half of it. We have made a useful attempt on the evacuation problem and the
results satisfy us to a certain extent
4 Conclusions
We put aside the method of depicting the moving state of everyone intensively in the
classical models and come up with the Boltzmann Distribution evacuation model
based on the thoughts of the trend of bulk movement. Through comparing our model
to the classical models, we get some conclusions shown as followings:
z Up to now, the best model of depicting moving state intensively is the So-
cial Force Model and our model has nearly the same intensive extent with
it. Of course our model depicts much better than the Cellular Automata
Model. The efficiency of our model is nearly half of that of the Social
Force Model.
z We also come up with the Exit Attraction Function to simulate the choos-
ing conditions when there are different exits and the avoiding principles
which make people go along a curve path to avoid the obstacles.
Our model consider the possible moving trend as a whole instead of intensively
depicting everyone's moving state which is totally a new way in the evacuation simu-
lation study. Based on the results, the simulation effect seems acceptable, which
provides a valuable direction in the future in similar questions
Acknowledgment
We should show our gratitude to the research innovation fund for college students of
Beijing University of Posts and Telecommunications.
Also, we should extend our thanks to the Bupt mathematic and physics innovation
laboratory for the lab conditions. What's more, professor Zuguo He helped us a lot.
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