VRE: A Versatile, Robust, and Economical Trajectory Data System
Summary: VRE uses a segment-based storage that blends point- and trajectory-based models, decoupling storage from processing to support multiple schemas. Unified pruning for five distance measures plus a two-stage pushdown processing framework with a secondary index delivers strong trajectory query efficiency and up to 3x storage reduction. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hai Lan
- 2. Jiong Xie
- 3. Zhifeng Bao
- 4. Feifei Li
- 5. Wei Tian
- 6. Fang Wang
- 7. Sheng Wang
- 8. Ailin Zhang
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,709 | SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity | 2025 | VLDB | 4.1945683e-05 |
| 10,980 | BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data | 2024 | SIGMOD | 4.1945683e-05 |
| 11,188 | ST4ML: Machine Learning Oriented Spatio-Temporal Data Processing at Scale | 2023 | SIGMOD | 4.1945683e-05 |
| 11,242 | Effective and Efficient Route Planning Using Historical Trajectories on Road Networks | 2023 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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