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Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning

Summary: Introduces SimSub, retrieving the most query-similar portion of a trajectory for finer-grained matching. Develops exact and approximate methods, with deep-reinforcement-learning search policies delivering superior effectiveness and efficiency on real data. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12306
Venue
VLDB
Year
2020
Pagerank
6.0146869e-05
Overall Rank
5,997 | 58.86%
DOI
10.14778/3407790.3407827

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb20,
        title = {{Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning}},
        author = {Wang, Zheng and Long, Cheng and Cong, Gao and Liu, Yiding},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {11},
        pages = {2312--2325},
        doi = {10.14778/3407790.3407827},
        url = {https://doi.org/10.14778/3407790.3407827},
        year = {2020}
}

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