Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
386226 | Expert Systems with Applications | 2010 | 6 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
J.A. Alvarez-Garcia, J.A. Ortega, L. Gonzalez-Abril, F. Velasco,