DBScholar

Back to papers

Trajectory Similarity Join in Spatial Networks

Summary: Defines TS-Join for trajectories in road networks with a practical similarity notion. Proposes a two-phase divide-and-conquer: parallel per-trajectory searches with upper-bound pruning, plus a constant-cost merge; yields order-of-magnitude speedups over baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11591
Venue
VLDB
Year
2017
Pagerank
5.9270112e-05
Overall Rank
6,285 | 56.89%
DOI
10.14778/3137628.3137633

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{shang_vldb17,
        title = {{Trajectory Similarity Join in Spatial Networks}},
        author = {Shang, Shuo and Chen, Lisi and Wei, Zhewei and Jensen, Christian S. and Zheng, Kai and Kalnis, Panos},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {11},
        pages = {1178--1189},
        doi = {10.14778/3137628.3137633},
        url = {https://doi.org/10.14778/3137628.3137633},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers