Origin-Destination Travel Time Oracle for Map-based Services
Summary: DOT is a diffusion-based two-stage framework for OD travel-time estimation from historical trajectories. Stage 1 uses a conditioned Pixelated Trajectories denoiser to learn OD-time correlations; Stage 2 applies a Masked Vision Transformer to estimate travel time with outlier removal, boosting accuracy, scalability, and explainability on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yan Lin
- 2. Huaiyu Wan
- 3. Jilin Hu
- 4. Shengnan Guo
- 5. Bin Yang
- 6. Youfang Lin
- 7. Christian S. Jensen
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,298 | TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | 2024 | VLDB | 9.0742746e-05 |
| 10,390 | RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 945 | Path Oracles for Spatial Networks | 2009 | VLDB | 0.00015137526 |
| 2,388 | Anytime Stochastic Routing with Hybrid Learning | 2020 | VLDB | 8.9132902e-05 |
| 3,447 | Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter | 2020 | SIGMOD | 7.0854131e-05 |
| 6,719 | DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection | 2022 | VLDB | 4.9504873e-05 |
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