Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter
Summary: Neural travel-time model aligns each OD query with its historical trajectory in a shared latent space, exploiting road-segment embeddings and time-slot embeddings. A temporal graph captures weekly/daily periodicity; at inference only OD input is needed to generate travel time. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haitao Yuan (Tsinghua University)
- 2. Guoliang Li (Tsinghua University)
- 3. Zhifeng Bao (Royal Melbourne Institute of Technology)
- 4. Ling Feng (Tsinghua University)
BibTeX Citation
@inproceedings{yuan_sigmod20,
title = {{Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter}},
author = {Yuan, Haitao and Li, Guoliang and Bao, Zhifeng and Feng, Ling},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389771},
url = {https://dl.acm.org/doi/10.1145/3318464.3389771},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,193 | On Map-Matching Vehicle Tracking Data | 2005 | VLDB | 0.00011730808 |
| 1,381 | Finding Time Period-Based Most Frequent Path in Big Trajectory Data | 2013 | SIGMOD | 0.00010965263 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,807 | Diversified Top-k Route Planning in Road Network | 2022 | VLDB |
| 2 | 9,230 | Path Cost Distribution Estimation Using Trajectory Data | 2017 | VLDB |
| 3 | 3,694 | Anytime Stochastic Routing with Hybrid Learning | 2020 | VLDB |
| 4 | 10,677 | RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning | 2025 | SIGMOD |
| 5 | 4,589 | Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting | 2022 | VLDB |
| 6 | 6,579 | A Deep Generative Model for Trajectory Modeling and Utilization | 2023 | VLDB |
| 7 | 7,669 | Multi-Modal Transportation Recommendation with Unified Route Representation Learning | 2021 | VLDB |
| 8 | 8,516 | Origin-Destination Travel Time Oracle for Map-based Services | 2023 | SIGMOD |
| 9 | 11,442 | Effective and Efficient Route Planning Using Historical Trajectories on Road Networks | 2023 | VLDB |
| 10 | 11,475 | Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity | 2023 | VLDB |