Analyzing the Accuracy of Agent Representations in Crowd Simulations
Date
2022-09-08
Authors
Shatzel, Liam
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Abstract
A 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.
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Crowd simulation, quantitative analysis, virtual humans, computer graphics