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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
9737
Venue
VLDB
Year
2008
Pagerank
0.00010702338
Overall Rank
1,745 | 87.87%
DOI
-

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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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