Document - K-BestMatch reconstruction and comparison of trajectory data

2009

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K-BestMatch reconstruction and comparison of trajectory data

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

Source: International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM-09) In Cooperation with IEEE ICDM 2009, pp. 610, Miami, Florida, USA, 6 December 2009

Publisher: IEEE Communications Society in cooperation with the IEEE Lasers and Electro-Optics Society,, New York, NY , Stati Uniti d'America

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@inproceedings{oai:it.cnr:prodotti:91914,
	title = {K-BestMatch reconstruction and comparison of trajectory data},
	author = {Nanni M. and Trasarti R.},
	publisher = {IEEE Communications Society in cooperation with the IEEE Lasers and Electro-Optics Society,, New York, NY , Stati Uniti d'America},
	doi = {10.1109/icdmw.2009.62},
	booktitle = {International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM-09) In Cooperation with IEEE ICDM 2009, pp. 610, Miami, Florida, USA, 6 December 2009},
	year = {2009}
}