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Fast Large-Scale Trajectory Clustering

Summary: Introduces k-paths, a scalable, parameter-light clustering of large-scale trajectories by selecting k representative routes. Maps matching to a compact trajectory representation and an edge-based distance (EBD) enable fast clustering of taxi data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12158
Venue
VLDB
Year
2020
Pagerank
5.4713696e-05
Overall Rank
5,508 | 61.69%
DOI
10.14778/3357377.3357380

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