从移动性分析到移动性中心发现:基于使用移动网络CDR数据的概念

Amnir Hadachi, Artjom Lind, Joonas Lomps, P. Piksarv
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引用次数: 6

摘要

了解人类在动态环境中的流动性,比如我们的城市,是迈向我们的经济、环境、交通和福祉发展的关键一步。因此,有必要依靠传感器或信息源,例如手机数据,来帮助我们感知这些城市动态。从这个角度来看,我们专注于展示和展示我们的概念,该概念依赖于一种基于切换卡尔曼滤波器的新方法,该方法可以提取移动模式,并通过分析发现使用移动数据(特别是CDR数据)的城市移动聚集或发散的移动枢纽。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Mobility Analysis to Mobility Hubs Discovery: A Concept Based on Using CDR Data of the Mobile Networks
Understanding human mobility in dynamic environments, such as our cities, is a crucial step toward the development of our economy, our environment, our transportation, as well as our well-being. Therefore, there is a need to rely on a sensor or a source of information, such as mobile phone data, that can help us to sense these urban dynamics. From this viewpoint, we are focusing on demonstrating and presenting our concept idea that relies on a new method based on switching Kalman filter that enables the extraction of mobility patterns and through its analysis discovering mobility hubs where the urban mobility converges or diverges using mobile data, especially CDR data.
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