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Knowledge Representation of Pedestrian Dynamics in Crowd: Formalism of Cellular Automata

  • Ewa Dudek–Dyduch
  • Jarosław Wąs
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)

Abstract

The aim of the article is to suggest knowledge representation in modeling pedestrian traffic dynamics using the method of Cellular Automata. The article also proposes a modified formalization of Cellular Automata. The formalization enables the introduction of a new automata class with automata exceeding their classic formula, under which the condition of a cell depends only on local relations. The extended idea of the Cellular Automaton makes considering global relations in decision-making processes possible. The automata class presented here is used in modeling pedestrian dynamics in crowd.

Keywords

Cellular Automaton Knowledge Representation Local Rule Cellular Automaton Model Local Transformation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ewa Dudek–Dyduch
    • 1
  • Jarosław Wąs
    • 1
  1. 1.Institute of AutomaticsAGH University of Sciences and TechnologyKrakówPoland

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