2010
Conference article
Unknown
Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract)
Nanni M., Trasarti R.
Database Applications 62-07 Spatio-temporal data Map matching Clustering
In this paper we propose a map matching method to overcoming the limitations of standard best-match reconstruction strategies. We use a more flex- ible approach which consider the k-optimal alternative paths to reconstruct the trajectories from the GPS raw data. The preliminary results, obtained on a real dataset of car users in Milan area, suggest that our method leads to beneficial effects on the successive analysis to be performed such as KNN and clustering.
Source: 18th Italian Symposium on Advanced Database Systems, pp. 126–133, Rimini, Italy, 20-23 June 2010
Publisher: Esculapio, Bologna, ITA
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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:92068,
title = {Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract)},
author = {Nanni M. and Trasarti R.},
publisher = {Esculapio, Bologna, ITA},
booktitle = {18th Italian Symposium on Advanced Database Systems, pp. 126–133, Rimini, Italy, 20-23 June 2010},
year = {2010}
}
0000-0003-3534-4332CNR ExploRA