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Mobility Data by Esteban Zimányi, Stefano Spaccapietra, Chiara Renso

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5

Mobility and Uncertainty

Claudio Silvestri and Alejandro A. Vaisman

5.1 Introduction

Mobility data are inherently uncertain due to several contributing factors related to different phases of their life cycle, from acquisition to interpretation. When data are processed, uncertainty propagates to intermediate and final results. Thus, it is important to be aware of uncertainty in trajectory data and explicitly account for it in their modeling and managing. For example, consider a simple scenario where people move around a city and disclose their positions twice an hour; to avoid stalking, the disclosed position is randomly selected from inside a circle with a radius of one kilometer, which contains the position of the user. Not being aware of ...

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