Article
Trip destination prediction based on past GPS log using a Hidden Markov Model
Author/s | 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 |
Publication Date | 2010 |
Deposit Date | 2017-04-03 |
Published in |
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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 ... 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 |
Funding agencies | Ministerio de Educación y Ciencia (MEC). España Junta de Andalucía |
Project ID. | TSI2006–13390-C02–02
TIC2141 |
Citation | Álvarez García, J.A., Ortega Ramírez, J.A., González Abril, L. y Velasco Morente, F. (2010). Trip destination prediction based on past GPS log using a Hidden Markov Model. Expert Systems with Applications, 37 (12), 8166-8171. |
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