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Trajectory Simplification: On Minimizing the Direction-based Error

Summary: Defines Min-Error for direction-preserving trajectory simplification (DPTS) under a fixed output size, removing reliance on user-specified tolerances by directly minimizing error. Proposes two exact algorithms and a 2-approximation algorithm; experiments on real datasets validate efficiency and accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11349
Venue
VLDB
Year
2015
Pagerank
8.24578e-05
Overall Rank
2,696 | 81.51%
DOI
10.14778/2735461.2735466

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Authors

BibTeX Citation

@article{long_vldb15,
        title = {{Trajectory Simplification: On Minimizing the Direction-based Error}},
        author = {Long, Cheng and Wong, Raymond Chi-Wing and Jagadish, H. V.},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {1},
        doi = {10.14778/2735461.2735466},
        url = {https://doi.org/10.14778/2735461.2735466},
        year = {2015}
}

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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
1,381 Finding Time Period-Based Most Frequent Path in Big Trajectory Data 2013 SIGMOD 0.00010965263
2,964 Direction-Preserving Trajectory Simplification 2013 VLDB 7.9156383e-05
4,729 EBM - An Entropy-Based Model to Infer Social Strength from Spatiotemporal Data 2013 SIGMOD 6.5359356e-05
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