Title: OLAP for moving object data

Authors: Oliver Baltzer; Frank Dehne; Andrew Rau-Chaplin

Addresses: Flagstone RE, Suite 700 Cogswell Tower, 2000 Barrington Street, Halifax, NS, B3J 3K1, Canada ' School of Computer Science, Carleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada ' Dalhousie University, Faculty of Computer Science, 1459 LeMarchant St., P.O. Box 15000, Halifax, NS, B3H 4R2, Canada

Abstract: In this paper, we present an OLAP framework for moving object data. We introduce a new operator GROUP_TRAJECTORIES for group-by operations on moving object data and present two implementation alternatives for computing groups of moving objects for group-by aggregation: group by overlap and group by intersection. We also present an interactive OLAP environment for resolution drill-down/roll-up on sets of trajectories and parameter browsing. We evaluate the performance of our GROUP_TRAJECTORIES operator by using generated as well as real life moving object datasets.

Keywords: online analytical processing; group-by operations; moving object data; spatial OLAP; moving objects; group-by aggregation; spatiotemporal movement; aggregation groups; feature dimensions; trajectories.

DOI: 10.1504/IJIIDS.2013.051745

International Journal of Intelligent Information and Database Systems, 2013 Vol.7 No.1, pp.79 - 112

Received: 19 Aug 2011
Accepted: 28 May 2012
Published online: 31 Mar 2014 *

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