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1. Trip destination prediction based on past GPS log using a Hidden Markov Model

Author

Alvarez-Garcia, J.A., Ortega, J.A., Gonzalez-Abril, L., and Velasco, F.

Subjects
*PREDICTION models, *GLOBAL Positioning System, *HIDDEN Markov models, *INFORMATION retrieval, *DATA mining, *DATABASES
Abstract

Abstract: In this paper, a system based on the generation of a Hidden Markov Model from the past GPS log and current location is presented to predict a user’s destination when beginning a new trip. This approach drastically reduces the number of points supplied by the GPS device and it permits a “support-map” to be generated in which the main characteristics of the trips for each user are taken into account. Hence, in contrast with other similar approaches, total independence from a street-map database is achieved. [ABSTRACT FROM AUTHOR]

Published
2010
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