Artificial intelligence of virtual people in CA FF pedestrian dynamics model

Authors:
Ekaterina Kirik;Tat'yana Yurgel'yan;Dmitriy Krouglov
Affiliations:
Institute of Computational Modelling, Russian Academy of Sciences, Krasnoyarsk, Russia and Siberian Federal University, Krasnoyarsk, Russia;Siberian Federal University, Krasnoyarsk, Russia;V.N. Sukachev Institute of Forest, Russian Academy of Sciences, Krasnoyarsk, Russia
Venue:
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part II
Year:
2009

Citing 2
Cited 0

An intelligent floor field cellular automation model for pedestrian dynamics

Proceedings of the 2007 Summer Computer Simulation Conference
VALIDATION OF CA MODELS OF PEDESTRIAN DYNAMICS WITH FUNDAMENTAL DIAGRAMS

Cybernetics and Systems - BEST OF AGENT-BASED MODELING AND SIMULATION 2008

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Abstract

This paper deals with mathematical model of pedestrian flows. We focus here on an "intelligence" of virtual people. From macroscopic viewpoint pedestrian dynamics is already well simulated but from microscopic point of view typical features of people movement need to be implemented to models. At least such features are "keeping in mind" two strategies - the shortest path and the shortest time and keeping a certain distance from other people and obstacles if it is possible. In this paper we implement mathematical formalization of these features to stochastic cellular automata (CA) Floor Field (FF) model.