Computing Popular Places Using Graphics Processors

Marta Fort, J. A. Sellarès, Nacho Valladares
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引用次数: 4

Abstract

Mobile devices provide the availability of tracking and collecting trajectories of moving objects such as vehicles, people or animals. There exists a well-known collection of patterns which can occur for a subset of trajectories. Specifically we study the so-called Popular Places, that is regions that are visited by many distinct moving objects.We propose algorithms to efficiently compute different forms of reporting Popular Places, that take benefit of the Graphics Processing Unit parallelism capabilities. We also describe how to visualize the reported solutions. Finally we present and discuss experimentalresults obtained with the implementation of our algorithms.
使用图形处理器计算热门场所
移动设备提供了跟踪和收集移动物体(如车辆、人或动物)轨迹的可用性。存在一个众所周知的模式集合,这些模式可以出现在轨迹的子集中。具体来说,我们研究所谓的热门地点,即许多不同的移动物体访问的区域。我们提出算法来有效地计算不同形式的流行地点报告,利用图形处理单元的并行能力。我们还描述了如何可视化报告的解决方案。最后给出并讨论了算法实现的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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