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Sensors 2012, 12(6), 7496-7517; doi:10.3390/s120607496
Article

Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems

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Received: 20 April 2012; in revised form: 21 May 2012 / Accepted: 30 May 2012 / Published: 4 June 2012
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Abstract: Predicting users’ next location allows to anticipate their future context, thus providing additional time to be ready for that context and react consequently. This work is focused on a set of LZ-based algorithms (LZ, LeZi Update and Active LeZi) capable of learning mobility patterns and estimating the next location with low resource needs, which makes it possible to execute them on mobile devices. The original algorithms have been divided into two phases, thus being possible to mix them and check which combination is the best one to obtain better prediction accuracy or lower resource consumption. To make such comparisons, a set of GSM-based mobility traces of 95 different users is considered. Finally, a prototype for mobile devices that integrates the predictors in a public transportation recommender system is described in order to show an example of how to take advantage of location prediction in an ubiquitous computing environment.
Keywords: GSM-based location; prediction; LZ; LeZi Update; Active LeZi; recommender system; ambient intelligence; ubiquitous computing GSM-based location; prediction; LZ; LeZi Update; Active LeZi; recommender system; ambient intelligence; ubiquitous computing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Rodriguez-Carrion, A.; Garcia-Rubio, C.; Campo, C.; Cortés-Martín, A.; Garcia-Lozano, E.; Noriega-Vivas, P. Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems. Sensors 2012, 12, 7496-7517.

AMA Style

Rodriguez-Carrion A, Garcia-Rubio C, Campo C, Cortés-Martín A, Garcia-Lozano E, Noriega-Vivas P. Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems. Sensors. 2012; 12(6):7496-7517.

Chicago/Turabian Style

Rodriguez-Carrion, Alicia; Garcia-Rubio, Carlos; Campo, Celeste; Cortés-Martín, Alberto; Garcia-Lozano, Estrella; Noriega-Vivas, Patricia. 2012. "Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems." Sensors 12, no. 6: 7496-7517.


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