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On Predicting the Future Locations of Moving Objects: The State of the Art
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Author(s): Nicola Corona (University of Pisa, Italy & ISTI-CNR, Italy), Fosca Giannotti (ISTI-CNR, Italy), Anna Monreale (University of Pisa, Italy & ISTI-CNR, Italy)and Roberto Trasarti (ISTI-CNR, Italy)
Copyright: 2016
Pages: 19
Source title:
Geospatial Research: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-9845-1.ch091
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Abstract
The pervasiveness of mobile devices and location-based services produces as side effects an increasing volume of mobility data, which in turn creates the opportunity for a novel generation of analysis methods of movement behaviors. In this chapter, the authors focus on the problem of predicting future locations aimed at predicting with a certain accuracy the next location of a moving object. In particular, they provide a classification of the proposals in the literature addressing that problem. Then the authors preset the data mining method WhereNext and finally discuss possible improvements of that method.
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