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Indexing Large Trajectory Data Sets With SETI*

Summary: SETI: a two-level logical index decoupling spatial and temporal indexing for efficient queries and high-rate inserts on trajectory data. Built on unmodified spatial indexes (e.g., R-tree), outperforms 3D R-tree and TB-tree and is DBMS-friendly. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
7
Venue
CIDR
Year
2003
Pagerank
8.2005452e-05
Overall Rank
2,738 | 80.96%
DOI
-

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