PPQ-Trajectory: Spatio-temporal Quantization for Querying in Large Trajectory Repositories
Summary: PPQ-trajectory introduces spatio-temporal quantization for querying large dynamic trajectories. Partition-wise predictive quantizer yields an error-bounded codebook with autocorrelation and spatial partitions, enabling approximate and exact queries; quadtrees and incremental temporal indexing allow fast, reconstruction-free querying on compressed trajectories, with experiments showing improved accuracy and compression. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shuang Wang (University of Warwick)
- 2. Hakan Ferhatosmanoglu (University of Warwick)
BibTeX Citation
@article{wang_vldb21,
title = {{PPQ-Trajectory: Spatio-temporal Quantization for Querying in Large Trajectory Repositories}},
author = {Wang, Shuang and Ferhatosmanoglu, Hakan},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {2},
pages = {215--227},
doi = {10.14778/3425879.3425891},
url = {https://doi.org/10.14778/3425879.3425891},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,539 | Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand | 2021 | SIGMOD | 5.4841462e-05 |
| 8,421 | TOD: GPU-accelerated Outlier Detection via Tensor Operations | 2023 | VLDB | 5.3197436e-05 |
| 10,042 | BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data | 2024 | SIGMOD | 5.0786422e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 45 | A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces | 1998 | VLDB | 0.00044967652 |
| 1,298 | Indexing Spatio-Temporal Trajectories with Chebyshev Polynomials | 2004 | SIGMOD | 0.00011104678 |
| 2,322 | STRIPES: An Efficient Index for Predicted Trajectories | 2004 | SIGMOD | 8.6301008e-05 |
| 3,245 | PRESS: A Novel Framework of Trajectory Compression in Road Networks | 2014 | VLDB | 7.478476e-05 |
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