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Title:      DENSITY DISTRIBUTION AND LOCAL BEHAVIOUR FORREALISTIC CROWD SIMULATION
Author(s):      Kai Yip Wong , Mary-ann Thyvetil , Andriana Machaira , Celine Loscos
ISBN:      978-972-8924-39-3
Editors:      António Palma dos Reis, Katherine Blashki and Yingcai Xiao (series editors:Piet Kommers, Pedro Isaías and Nian-Shing Chen)
Year:      2007
Edition:      Single
Keywords:      Animation, crowd simulation and navigation, evacuation systems, large scale virtual environments.
Type:      Full Paper
First Page:      11
Last Page:      18
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Virtual crowds are rapidly becoming a standard feature of large scale virtual environments. The incorporation of a virtual population enhances the realism of these environments. Effective algorithms have been formulated to govern the movement of individual avatars to give the crowds some semblance of intelligence, but often cover only one part of the simulation: collision detection, navigation or local interaction. In this paper we introduce a system that combines all three aspects. The navigation follows density principles suggested by the space syntax methods [9]. Our navigation system can also be tuned to simulate evacuations. The simulation is non deterministic in the sense that agents do not follow the same path, but the overall simulated density distribution is consistent. Also, local behaviour is simulated in the form of points of attraction and small-group (pair) formation which provides more a realistic visualization. Our system runs in real time allowing interactive visualization.
   

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