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arXiv · 1901.01172

Faster and Smaller Two-Level Index for Network-based Trajectories

Rodrigo Rivera·Andrea Rodríguez·Diego Seco
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Abstract

Two-level indexes have been widely used to handle trajectories of moving objects that are constrained to a network. The top-level of these indexes handles the spatial dimension, whereas the bottom level handles the temporal dimension. The latter turns out to be an instance of the interval-intersection problem, but it has been tackled by non-specialized spatial indexes. In this work, we propose the use of a compact data structure on the bottom level of these indexes. Our experimental evaluation shows that our approach is both faster and smaller than existing solutions.

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Rodrigo Rivera, Andrea Rodríguez, Diego Seco. 2019-01-04. Faster and Smaller Two-Level Index for Network-based Trajectories. https://doi.org/10.1007/978-3-030-00479-8_28

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