EDS: A Segment-based Distance Measure for Sub-trajectory Similarity Search
Summary: Sub-trajectory similarity search requires matching subpaths, not whole trajectories; existing distance measures miss segmental similarity. EDS (Edit Distance on Segment), a segment-based distance measure, is proposed for sub-trajectory search; real-data experiments show its superiority. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Min Xie
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,936 | Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning | 2020 | VLDB | 5.2654071e-05 |
| 11,257 | Efficient Non-Learning Similar Subtrajectory Search | 2023 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 251 | Robust and Fast Similarity Search for Moving Object Trajectories | 2005 | SIGMOD | 0.00030644658 |
| 358 | On The Marriage of Lp-norms and Edit Distance | 2004 | VLDB | 0.0002599481 |
| 1,126 | Trajectory Clustering: A Partition-and-Group Framework | 2007 | SIGMOD | 0.00013821443 |
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