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PRESS: A Novel Framework of Trajectory Compression in Road Networks

Summary: PRESS, a road-network–constrained trajectory compressor, decouples spatial and temporal data with Hybrid Spatial Compression (HSC) and error-bounded Temporal Compression (BTC). Supports typical spatio-temporal queries without full decompression and delivers strong storage savings with bounded error on real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10943
Venue
VLDB
Year
2014
Pagerank
7.1480157e-05
Overall Rank
3,395 | 76.39%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
1,115 Finding Time Period-Based Most Frequent Path in Big Trajectory Data 2013 SIGMOD 0.00013894562
1,129 On Map-Matching Vehicle Tracking Data 2005 VLDB 0.00013791923
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