2010
Conference article  Restricted

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.

Publisher: Esculapio



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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},
	year = {2010}
}