A MULTISCALE CELLULAR AUTOMATA MODEL FOR SIMULATING COMPLEX TRANSPORTATION SYSTEMS
Paweł Topa (),
Witold Dzwinel () and
David A. Yuen ()
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Paweł Topa: AGH University of Science and Technology, Institute of Computer Science, al. Mickiewicza 30, 30-059 Kraków, Poland
Witold Dzwinel: AGH University of Science and Technology, Institute of Computer Science, al. Mickiewicza 30, 30-059 Kraków, Poland
David A. Yuen: University of Minnesota, Department of Geology and Geophysics, and Minnesota Supercomputing Institute, Minneapolis, MN 55455-0219, USA
International Journal of Modern Physics C (IJMPC), 2006, vol. 17, issue 10, 1437-1459
Abstract:
We present a new two-level numerical model describing the evolution of transportation network. Two separate but mutually interacting sub-systems are investigated: a starving environment and the network. We assume that the slow modes of the environment growth can be modeled with classical cellular automata (CA) approach. The fast modes representing the transportation network, we approximate by the graph of cellular automata (GCA). This allows the simulation of transportation systems over larger spatio-temporal scales and scrutinizing global interactions between the network and the environment. We show that the model can mimic the realistic evolution of complex river systems. We also demonstrate how the model can simulate a reverse situation. We conclude that the paradigm of this model can be extended further to a general framework, approximating many realistic multiscale transportation systems in diverse fields such as geology, biology and medicine.
Keywords: Transportation networks; multiscale systems; graph of cellular automata (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:17:y:2006:i:10:n:s0129183106009898
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DOI: 10.1142/S0129183106009898
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