SimRN: Trajectory Similarity Learning in Road Networks based on Distributed Deep Reinforcement Learning
Summary: SimRN, the first DRL-based trajectory-similarity framework for road networks, integrates spatio-temporal prompt extraction, DRL-based trajectory representation with automatic parameter selection and parallel training, plus graph contrastive learning. Yields 20–40% accuracy gains, 2–4× speedups, and strong generalization on tiny training sets via self-supervised contrastive sampling that preserves spatial and temporal constraints. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Danlei Hu
- 2. Yilin Li
- 3. Lu Chen
- 4. Ziquan Fang
- 5. Yushuai Li
- 6. Yunjun Gao
- 7. Tianyi Li
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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 |
|---|---|---|---|---|
| 251 | Robust and Fast Similarity Search for Moving Object Trajectories | 2005 | SIGMOD | 0.00030644658 |
| 358 | On The Marriage of Lp-norms and Edit Distance | 2004 | VLDB | 0.0002599481 |
| 1,129 | On Map-Matching Vehicle Tracking Data | 2005 | VLDB | 0.00013791923 |
| 1,161 | Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures | 2008 | VLDB | 0.00013585236 |
| 1,776 | Distributed Trajectory Similarity Search | 2017 | VLDB | 0.00010593716 |
| 2,192 | DITA: Distributed In-Memory Trajectory Analytics | 2018 | SIGMOD | 9.3185895e-05 |
| 5,291 | Fast Subtrajectory Similarity Search in Road Networks under Weighted Edit Distance Constraints | 2020 | VLDB | 5.5826473e-05 |
| 5,333 | Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce | 2021 | SIGMOD | 5.5656575e-05 |
| 6,595 | Trajectory Similarity Join in Spatial Networks | 2017 | VLDB | 4.9993852e-05 |
| 9,048 | On Repairing Timestamps for Regular Interval Time Series | 2022 | VLDB | 4.4039656e-05 |