Direction-Preserving Trajectory Simplification
Summary: Introduces direction-preserving trajectory simplification, enabling broader applications than position-preserving methods. Polynomial-time optimal algorithm and a provable-approximation; real-data experiments show practical benefits. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Cheng Long (Hong Kong University of Science and Technology)
- 2. Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)
- 3. H. V. Jagadish (University of Michigan)
BibTeX Citation
@article{long_vldb13,
title = {{Direction-Preserving Trajectory Simplification}},
author = {Long, Cheng and Wong, Raymond Chi-Wing and Jagadish, H. V.},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {10},
pages = {949--960},
doi = {10.14778/2536206.2536209},
url = {https://doi.org/10.14778/2536206.2536209},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 917 | Trajectory Clustering: A Partition-and-Group Framework | 2007 | SIGMOD | 0.00013091246 |
| 1,177 | On Map-Matching Vehicle Tracking Data | 2005 | VLDB | 0.000116417 |
| 2,608 | TraClass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering | 2008 | VLDB | 8.2287717e-05 |
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