Abstract
Modelling of Large Scale Systems is an interesting research area since it combines issues of risk management and human decision. Strongly related with social, environmental and economic consequences, such issues impel scientific community to investigate for efficient and applicable solutions. To this direction, phenomena involving mass human presence, as crowd panic or extended natural processes, as earthquakes, have been simulated, using a computational intelligent technique, based on Cellular Automata (CA). CA are very effective in simulating physical systems, capturing the essential features of systems where global behaviour arises from the collective effect of simple components which interact locally. Moreover, they are also one of the most suitable computational structures for VLSI realization. The evaluation of each model is based on its response to real data. In both cases, an efficient graphical user interface has been developed, in order to study various hypotheses concerning the prominent features of each model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Georgoudas, I.G., Sirakoulis, G.C., Andreadis, I.: A Potential-based Cellular Automaton Model for Earthquake Simulation. In: Int. Conf. on Computational Methods in Sciences and Engineering, Athens, Greece, November 2004, pp. 185–189 (2004)
Burridge, R., Knopoff, L.: Model and theoretical Seismicity. Bulletin of Seismological Society of America 57(3), 341–371 (1967)
Olami, Z., Feder, H.J.S., Christensen, K.: Self-Organized Criticality in a Continuous, Nonconservative Cellular Automaton Modelling Earthquakes. Phys. Rev. Lett. 68(8), 1244–1247 (1992)
Preston, E.F., Sá Martins, J.S., Rundle, J.B., Anghel, M., Klein, W.: Models of Earthquake Faults with Long-Range Stress Transfer. IEEE Computing in Science and Engineering 2, 34–41 (2000)
Georgoudas, I.G., Sirakoulis, G.C., Scordilis, E.M., Andreadis, I.: Modelling Xanthi’s earthquake activity using a two-dimensional cellular automaton. In: General Assembly, of the European Geosciences Union, Vienna, Austria, EGU-A-7603 (April 2005) p. 456 (2005)
Hernandez, G.: Parallel and distributed simulations and visualizations of the Olami-Feder-Christensen earthquake model. Physica A 313, 301–311 (2002)
Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407, 487–490 (2000)
Aubé, F., Shield, R.: Modeling the Effect of Leadership on Crowd Flow Dynamics. In: Sloot, P.M.A., Chopard, B., Hoekstra, A.G. (eds.) ACRI 2004. LNCS, vol. 3305, pp. 601–611. Springer, Heidelberg (2004)
Burstedde, C., Klauck, K., Schadschneider, A., Zittartz, J.: Simulation of pedestrian dynamics using a two-dimensional cellular automaton. Physica A 295, 507–525 (2001)
Sirakoulis, G.C., Karafyllidis, I., Thanailakis, A., Mardiris, V.: A methodology for VLSI implementation of Cellular Automata algorithms using VHDL. Advances in Engineering Software 32, 189–202 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Georgoudas, I.G. (2006). Cellular Automata Modelling of Large Scale Systems and VLSI Implementation Perspectives. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds) Cellular Automata. ACRI 2006. Lecture Notes in Computer Science, vol 4173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861201_13
Download citation
DOI: https://doi.org/10.1007/11861201_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40929-8
Online ISBN: 978-3-540-40932-8
eBook Packages: Computer ScienceComputer Science (R0)