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

 

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Opened Access Trip destination prediction based on past GPS log using a Hidden Markov Model
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Author: Álvarez García, Juan Antonio
Ortega Ramírez, Juan Antonio
González Abril, Luis
Velasco Morente, Francisco
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Universidad de Sevilla. Departamento de Economía Aplicada I
Date: 2010
Published in: Expert Systems with Applications, 37 (12), 8166-8171.
Document type: Article
Abstract: In this paper, a system based on the generation of a Hidden Markov Model from the past GPS log and cur- rent location is presented to predict a user’s destination when beginning a new trip. This approach dras- tically 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
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Format: PDF

URI: http://hdl.handle.net/11441/56926

DOI: 10.1016/j.eswa.2010.05.070

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