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Discovery of Convoys in Trajectory Databases

Summary: Density-based convoy queries over trajectory databases capture groups moving together for a time, with arbitrary shapes. Three filter-refinement algorithms using line-simplification and provable distance bounds enable exact convoy discovery; real-world data show strong efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9928
Venue
VLDB
Year
2008
Pagerank
9.5362394e-05
Overall Rank
1,885 | 87.07%
DOI
10.14778/1453856.1453971

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{jeung_vldb08,
        title = {{Discovery of Convoys in Trajectory Databases}},
        author = {Jeung, Hoyoung and Yiu, Man Lung and Zhou, Xiaofang and Jensen, Christian S. and Shen, Heng Tao},
        journal = {PVLDB},
        series = {{VLDB} '08},
        volume = {1},
        number = {1},
        pages = {1068--1079},
        doi = {10.14778/1453856.1453971},
        url = {https://doi.org/10.14778/1453856.1453971},
        year = {2008}
}

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
221 Robust and Fast Similarity Search for Moving Object Trajectories 2005 SIGMOD 0.00024224879
303 On The Marriage of Lp-norms and Edit Distance 2004 VLDB 0.00021956234
918 Trajectory Clustering: A Partition-and-Group Framework 2007 SIGMOD 0.00013215285
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