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
@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} }