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Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning

Summary: Addresses SimSub: finding subtrajectories most similar to a query trajectory. Proposes exact and approximate algorithms; two DRL-based approaches beat non-learning baselines in effectiveness and efficiency, with experiments on real-world trajectory datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12118
Venue
VLDB
Year
2020
Pagerank
5.2654071e-05
Overall Rank
5,936 | 58.71%
DOI
10.14778/3407790.3407827

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