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 (Beijing Jiaotong University)
- 2. Huaiyu Wan (Beijing Jiaotong University)
- 3. Jilin Hu (East China Normal University)
- 4. Shengnan Guo (Beijing Jiaotong University)
- 5. Bin Yang (East China Normal University)
- 6. Youfang Lin (Beijing Jiaotong University)
- 7. Christian S. Jensen (Aalborg University)
BibTeX Citation
@inproceedings{lin_sigmod23,
title = {{Origin-Destination Travel Time Oracle for Map-based Services}},
author = {Lin, Yan and Wan, Huaiyu and Hu, Jilin and Guo, Shengnan and Yang, Bin and Lin, Youfang and Jensen, Christian S.},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3617337},
url = {https://dl.acm.org/doi/10.1145/3617337},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,433 | TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods | 2024 | VLDB | 7.3030444e-05 |
| 9,907 | RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning | 2025 | SIGMOD | 5.1103839e-05 |
| 11,025 | Are We There Yet? A Grand Tour of ETA Queries | 2026 | VLDB | 4.9793485e-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 |
|---|---|---|---|---|
| 990 | Path Oracles for Spatial Networks | 2009 | VLDB | 0.00012648672 |
| 3,161 | Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter | 2020 | SIGMOD | 7.5796549e-05 |
| 3,497 | Anytime Stochastic Routing with Hybrid Learning | 2020 | VLDB | 7.2556245e-05 |
| 7,457 | DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection | 2022 | VLDB | 5.5223267e-05 |
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