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Journal of Siberian Federal University. Mathematics & Physics, 2009, Volume 2, Issue 3, Pages 271–278
(Mi jsfu73)
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This article is cited in 21 scientific papers (total in 21 papers)
The Shortest Time and/or the Shortest Path Strategies in a CA FF Pedestrian Dynamics Model
Ekaterina S. Kirika, Tat'yana B. Yurgel'yanb, Dmitriy V. Krouglovc a Institute of Computational Modelling, Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Russia
b Institute of Mathematics, Siberian Federal University, Krasnoyarsk, Russia
c V. N. Sukacev Institute of Forest, Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Russia
Abstract:
The paper deals with a mathematical model of a pedestrian movement based on a stochastic cellular automata (CA) approach. A basis of the model obtained is the Floor Field (FF) model. FF models imply that virtual people follow the shortest path strategy. However, in reality people follow the strategy of the shortest time as well. The focus of the paper is on mathematical formalization and implementation of these features into a model of pedestrian movement. Some results of computer simulations are presented.
Keywords:
cellular automata, pedestrian dynamics, transition probabilities, artificial intelligence.
Received: 10.06.2009 Received in revised form: 10.07.2009 Accepted: 15.07.2009
Citation:
Ekaterina S. Kirik, Tat'yana B. Yurgel'yan, Dmitriy V. Krouglov, “The Shortest Time and/or the Shortest Path Strategies in a CA FF Pedestrian Dynamics Model”, J. Sib. Fed. Univ. Math. Phys., 2:3 (2009), 271–278
Linking options:
https://www.mathnet.ru/eng/jsfu73 https://www.mathnet.ru/eng/jsfu/v2/i3/p271
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Abstract page: | 810 | Full-text PDF : | 128 | References: | 78 |
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