Nanni M, Trasarti R
Spatio-temporal data clustering map matching
In this paper we propose a map matching method to overcoming the limitations of standard best-match recon- struction strategies. We use a more flexible 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: IEEE
@inproceedings{oai:it.cnr:prodotti:91914, title = {K-BestMatch reconstruction and comparison of trajectory data}, author = {Nanni M and Trasarti R}, publisher = {IEEE}, doi = {10.1109/icdmw.2009.62}, year = {2009} }