Siberian Federal University 
- Issue
- Journal of Siberian Federal University. Mathematics & Physics. 2009 2 (3)
- Authors
- Kirik, Ekaterina S.; Yurgelyan, Tatyana B.; Krouglov, Dmitriy V.
- Contact information
- Kirik, Ekaterina S. Akademgorodok 50/44, Krasnoyarsk, 660036 ; Yurgelyan, Tatyana B. Svobodny 79, Krasnoyarsk, 660041 ; Krouglov, Dmitriy V. Akademgorodok 50/28, Krasnoyarsk, 660041 Russia
- Keywords
- cellular automata; pedestrian dynamics; transition probabilities; artificial intelligence
- 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.
- Pages
- 271-278
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/1214
Journal of Siberian Federal University. Mathematics & Physics / The Shortest Time and/or the Shortest Path Strategies in a CA FF Pedestrian Dynamics Model
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