Modification of Physical Force Approach for Simulating Agent Movement with Collective Behavior
DOI:
https://doi.org/10.11113/jt.v72.3876Keywords:
Agent characteristics, intelligence, physical force approachAbstract
Crowd modelling is a simulation study to know how crowd will behave in the environment. This simulation will contribute general knowledge and insight especially for safety engineers and architectural designers in assessing safety of crowd movement in buildings. There are many existing crowd models. However, these models neglect the details of agent characteristics and intelligence on how the agent will behave in the real environment. Therefore, in this study, the aim is to present heterogeneous agent characteristics and to include intelligence in the model in order to produce collective types of agent behaviour by modify the existing physical force approach.Â
References
Terozopoulos, D. 1999. Artificial Life for Computer Graphics. Commun. ACM. 42(8): 32–42.
Waldau, N., Gattermann, P., Knoflacher, H. and Schreckenberg, M. 2007. Pedestrian and Evacuation Dynamics 2005. Springer Verlag.
Chenney, S. 2004. Flow tiles. Proceedings of the 2004 ACM SIGGRAPH/Eurographics Symposium on Computer Animation. Eurographics Association. 233–242.
Kisko, T. M., Francis, R. and Nobel, C. 1998. Evacnet4 Users Guide. University of Florida.
Blue, V. J. and Adler, J. L. 1999. Cellular Automata Microsimulation of Bidirectional Pedestrian Flows. Transportation Research Record: Journal of the Transportation Research Board. 1678(1): 135–141.
Zarita, Z. and Lim, E. A. 2012. Refined Cellular Automata Model for Tawaf Simulation.
Peng, Y. C. and Chou, C. I. 2011. Simulation of Pedestrian Flow Through A T-Intersection: A Multi Floor Field Cellular Automata Approach. Computer Physics Communications. 182(1): 205–208.
Shao, P. 2009. A More Realistic Simulation of Pedestrian Based on Cellular Automata. Open-source Software for Scientific Computation (OSSC), 2009 IEEE International Workshop on. IEEE. 24–29.
Moussaid, M., Perozo, N., Garnier, S., Helbing, D. and Theraulaz, G. 2010. The Walking Behavior of Pedestrian Social Groups and Its Impact on Crowd Dynamics. PloS one. 5(4): 10047.
Teknomo, K. 2002. Microscopic Pedestrian Flow Characteristics: Development of an Image Processing Data Collection and Simulation Model. Diss. Tohoku Univ.
Helning, D., Farkas, I. and Vicsek, T. 2000. Simulating Dynamical Features of Escape Panic. Nature. 407(6803): 487–490.
Hall, E. T. and Hall, E. T. 1969. The Hidden Dimension. Anchor Books New York.
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