@inproceedings{bbf826c6344c4f899a053713b2517795,
title = "Feature Selection in Conditional Random Fields for Map Matching of GPS Trajectories",
abstract = "Map matching of the GPS trajectory serves the purpose of recovering the original route on a road network from a sequence of noisy GPS observations. It is a fundamental technique to many Location Based Services. However, map matching of a low sampling rate on urban road network is still a challenging task. In this paper, the characteristics of Conditional Random Fields with regard to inducing many contextual features and feature selection are explored for the map matching of the GPS trajectories at a low sampling rate. Experiments on a taxi trajectory dataset show that our method may achieve competitive results along with the success of reducing model complexity for computation-limited applications.",
keywords = "Conditional random fields, Feature selection, GPS trajectory, Map matching",
author = "Jian Yang and Liqiu Meng",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 11th International Symposium on Location Based Services, LBS 2014 ; Conference date: 26-11-2014 Through 28-11-2014",
year = "2015",
doi = "10.1007/978-3-319-11879-6_9",
language = "English",
isbn = "9783319118789",
series = "Lecture Notes in Geoinformation and Cartography",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "121--135",
editor = "Georg Gartner and Haosheng Huang",
booktitle = "Progress in Location-Based Services 2014",
}