Analyzing the Accuracy of Agent Representations in Crowd Simulations

dc.contributor.authorShatzel, Liam
dc.date.accessioned2022-09-08T15:33:19Z
dc.date.available2022-09-08T15:33:19Z
dc.date.copyright2022en_US
dc.date.issued2022-09-08
dc.description.abstractA crowd simulation is a computer-based simulation of a large number of characters. Crowd simulations are used, with increasing frequency, in fields such as movies, games, building design, and evacuation scenarios. For example, in emergency evacuation scenarios, crowd simulations can be used to predict the behavior of humans in order to test the safety of a building design. The focus of this research is to analyze the accuracy of representations of virtual humans (agents) within crowd simulations. Typically, disks are used to represent agents within crowd simulations, but these can oversimplify the area that an agent occupies. Having accurate representations of agents is necessary for a simulated crowd to reflect reality. In this work we focus on a comparative analysis, contrasting overestimates and underestimates of standard disk representations. Through this research, we provide quantitative data on the oversimplification that disk-based models present. This data can be used as a starting point for exploring better representations of humans in motion within simulated crowds.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelUndergraduateen_US
dc.description.sponsorshipValerie Kuehne Undergraduate Research Awards (VKURA)en_US
dc.identifier.urihttp://hdl.handle.net/1828/14213
dc.language.isoenen_US
dc.subjectCrowd simulationen_US
dc.subjectquantitative analysisen_US
dc.subjectvirtual humansen_US
dc.subjectcomputer graphicsen_US
dc.titleAnalyzing the Accuracy of Agent Representations in Crowd Simulationsen_US
dc.typePosteren_US

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