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High-density Real-time Virtual Crowds via Unilaterally Incompressible Fluid Simulation
KTH, School of Engineering Sciences (SCI).
KTH, School of Engineering Sciences (SCI).
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Human crowds experience limited individual freedom of motion and tend to exhibit aggregate behavior at high densities. This observation can be exploited in simulations by representing virtual crowds as both distinct agents and continua. We introduce a global planning algorithm suitable for navigating large virtual crowds of agents. These crowds are in turn modeled as unilaterally incompressible fluids to effectively simulate large-scale behavior. The algorithm is ultimately tested on certain specific scenarios with the intention of detecting common emergent behaviors, to finally draw conclusions on its ability to simulate real-life situations.

Abstract [sv]

Folkmassor upplever begränsad individuell rörelsefrihet och tenderar att bete sig som enstaka enheter vid höga densiteter. Denna observation kan utnyttjas i simuleringar genom att representera virtuella folkmassor som både distinkta individer och som kontinuum. Vi introducerar en global algoritm för navigering, lämplig för att kunna styra stora virtuella ansamlingar av individer. Dessa folkmassor modelleras i sin tur som ensidigt inkompressibla vätskor för att på ett effektivt sätt kunna simulera storskaliga beteenden. Algoritmen utvärderas för specifika scenarion där uppkommande beteenden studeras, för att slutligen dra slutsatser om dess förmåga att simulera verkliga situationer.

Place, publisher, year, edition, pages
2015. , 8 p.
National Category
Computer Science
URN: urn:nbn:se:kth:diva-167995OAI: diva2:813795
Available from: 2015-05-25 Created: 2015-05-25 Last updated: 2015-05-27Bibliographically approved

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