基于幂律的并行人群仿真

Ji Wang, Tianlu Mao, Xiyuan Song, Shaohua Liu, Hao Jiang, Zhaoqi Wang
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引用次数: 1

摘要

人群模拟技术越来越多地应用于电影、动画、游戏、军事训练、公共安全等领域。本文提出了一种基于幂律的并行人群仿真模型。该模型采用CUDA架构在GPU上并行化幂律模型,使每个agent的行为模拟在不同线程上同步进行。该模型在考虑微观模型精细效果的同时,显著提高了模型仿真效率,使得实时模拟大规模人群成为可能,并能准确获取每一帧中每个agent的状态信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel Crowd Simulation Based on Power Law
Crowd simulation technology is increasingly used in the fields of film, animation, games, military training, and public safety. In this paper, we propose a parallel crowd simulation model based on Power Law. This model use CUDA architecture to parallelize the Power Law model on GPU, so that each agent's behavior simulation is synchronized on different threads. This model considers the fine effects of the microscopic model while significantly improving the model simulation efficiency, making it possible to simulate large-scale crowds in real time and can accurately obtain the status information of each agent in each frame.
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