PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Nanni M., Trasarti R. Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract). In: SEBD 2010 - 18th Italian Symposium on Advanced Database Systems (Rimini, Italy, 20-23 June 2010). Atti, pp. 126 - 133. Sonia Bergamaschi, Stefano Lodi, Riccardo Martoglia, Claudio Sartori (eds.). SocietÓ Editrice Esculapio, 2010.
 
 
Abstract
(English)
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.
Subject Spatio-temporal data
Map matching
Clustering
H.2.8 Database Applications
62-07


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