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

@article{lvarez2010TripDP,
  title={Trip destination prediction based on past GPS log using a Hidden Markov Model},
  author={Juan Antonio {\'A}lvarez and Juan Antonio Ortega and Luis Gonz{\'a}lez Abril and Francisco Velasco Morente},
  journal={Expert Syst. Appl.},
  year={2010},
  volume={37},
  pages={8166-8171}
}
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 streetmap database is… CONTINUE READING
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