Title: A Crowd Simulation Using Individual-Knowledge- Merge based Path Construction and Smoothed Particle Hydrodynamics
Authors: Tantisiriwat, Weerawat
Sumleeon, Arisara
Kanongchaiyos, Pizzanu
Citation: WSCG '2007: Short Communications Proceedings: The 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2007 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, January 29 – February 1, 2007, p. 249-256.
Issue Date: 2007
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2007/Papers_2007/short/!WSCG2007_Short_Proceedings_Final-Part_2.zip
ISBN: 978-80-86943-02-2
Keywords: simulace davu;částicové metody;proudová dynamika;jemná částicová hydrodynamika
Keywords in different language: crowd simulation;particle methods;fluid dynamics;smoothed particle hydrodynamics
Abstract: Previous researches on crowd simulation are often based on pre-computed path planning to reduce computational time; however, the pattern of the crowd locomotion is usually unrealistic and the simulation itself is also inflexible. This paper presents a novel technique to model an interactive time crowd simulation by using automatic path construction and Smoothed Particle Hydrodynamics (SPH) in order that each individual can automatically search for the destination without path pre-computation. Two alternating stages approaches are used in our simulation. Firstly, the environment and crowd are set up, and crowd is then moved in accordance with SPH in order to achieve smooth locomotion without fixed pattern. Each agent from a group of crowd can create a map that contains the knowledge of local environment that it gains from perceptions. The local path can be extended and shared corresponding to the new environment or knowledge sharing with other agents. An automatic path determination is done in the next stage by using the potential field. The result from path selection is then used to set the direction of external force in SPH model. By using our method, natural crowd locomotion under a variety of conditions, such as forming and separating lane, obstacles avoidance and escape from unknown area can be represented in interactive time.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2007: Short Communications Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11186

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