Publication Date:
2009
abstract:
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
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Spatio-temporal data; map matching; clustering
List of contributors:
Nanni, Mirco; Trasarti, Roberto
Book title:
International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM-09) In Cooperation with IEEE ICDM 2009