We present a compressed data structure to store free trajectories of moving objects (ships over the sea, for example) allowing spatio-temporal queries. Our method, GraCT, uses a k2-tree to store the absolute positions of all objects at regular time intervals (snapshots), whereas the positions between snapshots are represented as logs of relative movements compressed with Re-Pair. Our experimental evaluation shows important savings in space and time with respect to a fair baseline.
@article{arxiv.1612.03308,
title = {GraCT: A Grammar based Compressed representation of Trajectories},
author = {Nieves R. Brisaboa and Adrián Gómez-Brandón and Gonzalo Navarro and José R. Paramá},
journal= {arXiv preprint arXiv:1612.03308},
year = {2016}
}
Comments
This research has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sk{\l}odowska-Curie Actions H2020-MSCA-RISE-2015 BIRDS GA No. 690941