Source:
Graphic:
Column Information:
- The structure of each record is as follows: {obj-id, traj-id, date(dd/mm/yyyy), time(hh:mm:ss), lat, lon, x, y} where (lat, lon) is in WGS84 reference system and (x, y) is in GGRS87 reference system.
Relevant Papers:
- C. Panagiotakis, N. Pelekis, I. Kopanakis, E. Ramasso, Y. Theodoridis, "Segmentation and Sampling of Moving Object Trajectories based on Representativeness", IEEE Transactions on Knowledge and Data Engineering, 07 Feb. 2011. IEEE computer Society Digital Library. IEEE Computer Society.
- N. Pelekis, I. Kopanakis, E. Kotsifakos, E. Frentzos and Y. Theodoridis. “Clustering Uncertain Trajectories”, Knowledge and Information Systems (KAIS), DOI 10.1007/s10115-010-0316-x, 2010.
- E. Frentzos, K. Gratsias, N. Pelekis and Y. Theodoridis. “Algorithms for Nearest Neighbor Search on Moving Object Trajectories”. Geoinformatica, 11:159–193, 2007.
- N. Pelekis, I. Kopanakis, E. Kotsifakos, E. Frentzos and Y. Theodoridis. “Clustering Trajectories of Moving Objects in an Uncertain World”, In the Proceedings of the IEEE International Conference on Data Mining (ICDM’09), Miami, U.S.A., 2009. - O. Abul, F. Bonchi, M. Nanni, Never Walk Alone: uncertainty for anonymity in moving objects databases, in: Proceedings of the 24nd IEEE International Conference on Data Engineering (ICDE’08), 2008.
Public File:
| Attachment | Size |
|---|---|
 trucks.zip | 1.85 MB |
Post date:
Thursday, June 14, 2012 - 04:06
Submitted 12 years 5 months ago by admin.