An Analysis of a Real Mobility Trace Based on Standard Mobility Metrics

M. Spohn, Matheus Henrique Trichez
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Abstract

Better understanding mobility, being it from pedestrians or any other moving object, is practical and insightful. Practical due to its applications to the fundamentals of communication, with special attention to wireless communication. Insightful because it might pinpoint the pros and cons of how we are moving, or being moved, around. There are plenty of studies focused on mobility in mobile wireless networks, including the proposals of several synthetic mobility models. Getting real mobility traces is not an easy task, but there has been some efforts to provide traces to the public through repositories. Synthetic mobility models are usually analyzed through mobility metrics, which are designed to capture mobility subtleties. This work research on the applicability of some representative mobility metrics for real traces analysis. To achieve that goal, a case study is accomplished with a dataset of mobility traces of taxi cabs in the city of Rome/Italy. The results suggest that the mobility metrics under consideration are capable of capturing mobility properties which would otherwise require more sophisticated analytical approaches.
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基于标准移动度量的真实移动轨迹分析
更好地理解移动性,无论是从行人还是任何其他移动物体,都是实用而富有洞察力的。实用性由于其应用于通信的基础,特别注重无线通信。有洞察力,因为它可以精确地指出我们如何移动或被移动的利弊。对移动无线网络的移动性进行了大量的研究,包括几种综合移动性模型的提出。获得真正的移动性跟踪并不是一件容易的事情,但是已经有一些努力通过存储库向公众提供跟踪。综合移动性模型通常通过移动性指标进行分析,这些指标旨在捕捉移动性的细微之处。本文研究了一些具有代表性的迁移率指标在实际迹线分析中的适用性。为了实现这一目标,我们使用意大利罗马市出租车的移动轨迹数据集完成了一个案例研究。结果表明,所考虑的移动性指标能够捕获移动性属性,否则需要更复杂的分析方法。
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