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On predicting future location of moving objects: a state of art

Chapter
Publication Date:
2014
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.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Privacy; Distributed systems; Mobility
List of contributors:
Giannotti, Fosca; Trasarti, Roberto
Authors of the University:
TRASARTI ROBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/257684
Book title:
Data Science and Simulation in Transportation Research
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