%0 Journal Article %1 alvarezgarcia2010trip %A Alvarez-Garcia, J. A. %A Ortega, J. A. %A Gonzalez-Abril, L. %A Velasco, F. %C Tarrytown, NY, USA %D 2010 %I Pergamon Press, Inc. %J Expert Syst. Appl. %K dess destination geo gps hidden inthesis markov model predicition spatial trip %N 12 %P 8166--8171 %R 10.1016/j.eswa.2010.05.070 %T Trip Destination Prediction Based on Past GPS Log Using a Hidden Markov Model %U http://dx.doi.org/10.1016/j.eswa.2010.05.070 %V 37 %X 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.

@article{alvarezgarcia2010trip, 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. }, acmid = {1842325}, added-at = {2017-02-05T00:03:57.000+0100}, address = {Tarrytown, NY, USA}, author = {Alvarez-Garcia, J. A. and Ortega, J. A. and Gonzalez-Abril, L. and Velasco, F.}, biburl = {https://www.bibsonomy.org/bibtex/26250fc4dcfbadc2c7fd56ab3accf41f4/becker}, doi = {10.1016/j.eswa.2010.05.070}, interhash = {52bdc6287a7670b81a69352d7ca1e60d}, intrahash = {6250fc4dcfbadc2c7fd56ab3accf41f4}, issn = {0957-4174}, issue_date = {December, 2010}, journal = {Expert Syst. Appl.}, keywords = {dess destination geo gps hidden inthesis markov model predicition spatial trip}, month = dec, number = 12, numpages = {6}, pages = {8166--8171}, publisher = {Pergamon Press, Inc.}, timestamp = {2017-02-05T00:03:57.000+0100}, title = {Trip Destination Prediction Based on Past GPS Log Using a Hidden Markov Model}, url = {http://dx.doi.org/10.1016/j.eswa.2010.05.070}, volume = 37, year = 2010 }