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A distributed visualization system for crowd simulations

机译:用于人群模拟的分布式可视化系统

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摘要

The visualization system of large-scale crowd simulations should scale up with both the number of visuals (views of the virtual world) and the number of agents displayed in each visual. Otherwise, we could have large scale crowd simulations where only a small percentage of the population is displayed. Several approaches have been proposed in order to efficiently render crowds of animated characters. However, these approaches either render crowds animated with simple behaviors or they can only support a few hundreds of user-driven entities. In this paper, we propose a distributed visualization system for large crowds of autonomous agents that allows the visualization of crowds animated with complex behaviors without adding significant overhead to the simulation servers. The proposed implementation can be hosted on dedicated computers different from the servers, and it takes advantage of the Graphics Processor Unit (GPU) capabilities. As a result, the performance evaluation shows that thousands of agents can be rendered without affecting the system performance. Also, the results show that the design of the visual client allows to add multiple visuals for displaying large crowds.
机译:大规模人群模拟的可视化系统应按视觉数量(虚拟世界的视图)和每个视觉中显示的座席数量进行扩展。否则,我们可以进行大规模的人群模拟,其中仅显示一小部分人口。为了有效地渲染动画人物的人群,已经提出了几种方法。但是,这些方法要么使人群具有简单的行为动画效果,要么只能支持数百个用户驱动的实体。在本文中,我们提出了一种针对大量自动代理的分布式可视化系统,该系统允许对具有复杂行为的动画人群进行可视化,而不会增加模拟服务器的开销。所建议的实现可以在不同于服务器的专用计算机上托管,并且可以利用图形处理器单元(GPU)的功能。结果,性能评估表明可以渲染成千上万个代理,而不会影响系统性能。同样,结果表明,视觉客户端的设计允许添加多个视觉效果以显示大量人群。

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