沙龙:基于住宿点的通用定位分析平台

Yue Hu, Sijie Ruan, Yuting Ni, Huajun He, Jie Bao, Ruiyuan Li, Yu Zheng
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引用次数: 3

摘要

定位技术的普及催生了大量的轨迹数据。轨迹的停留点表示运动物体对位置的访问,这为全面了解位置提供了机会。许多现有的工程依靠停留点来分析位置。然而,它们是解决特定问题的临时解决方案,开发每个应用程序既耗时又乏味。本文提出了一种通用的基于停留点的定位分析平台,即SALON,该平台具有通用性、高效性和灵活性。它可以使用灵活的条件检索停留点,将停留点与位置关联,提取全面的位置概况,并将分析结果可视化给用户。基于这些功能的组合,我们演示了三种不同的位置分析场景,即非法位置发现、热门位置排名、位置时间分析,以展示其特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SALON: A Universal Stay Point-Based Location Analysis Platform
The prevalence of positioning technologies has fostered massive trajectory data. Stay points from trajectories indicate the visiting of moving objects to locations, which provide an opportunity to understand the locations comprehensively. Many existing works rely on stay points to analyze locations. However, they are ad-hoc solutions to tackle specific problems, and it is time-consuming and tedious to develop each application. In this paper, we propose a universal StAy point-based LOcation aNalysis platform, i.e., SALON, with the characteristics of universality, efficiency and flexibility. It can retrieve stay points using flexible conditions, associate stay points with locations, extract comprehensive location profiles and visualize the analysis results to users. Based on the combination of these functions, we demonstrate three different location analysis scenarios, i.e., illegal location discovery, popular location ranking, location temporal analysis to show its characteristics.
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