Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity
Summary: A route travel-time estimator jointly models link/turn heterogeneity, spatial proximity, periodicity, and dynamic traffic. Its attention-based encoder–decoder combines temporal sequence attention with heterogeneous graph attention over a link-connection graph. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Haitao Yuan (Tsinghua University)
- 2. Guoliang Li (Tsinghua University)
- 3. Zhifeng Bao (Royal Melbourne Institute of Technology University)
BibTeX Citation
@article{yuan_vldb23,
title = {{Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity}},
author = {Yuan, Haitao and Li, Guoliang and Bao, Zhifeng},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {3},
pages = {393--405},
doi = {10.14778/3570690.3570691},
url = {https://doi.org/10.14778/3570690.3570691},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,010 | Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network | 2024 | VLDB | 5.5074939e-05 |
| 10,249 | GoodTP: An Effective Data Selection Framework for Enhancing Trajectory Similarity Learning via Monte Carlo Tree Search | 2026 | SIGMOD | 5.093636e-05 |
| 10,677 | RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning | 2025 | SIGMOD | 5.093636e-05 |
| 10,777 | RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning | 2025 | SIGMOD | 5.093636e-05 |
| 11,452 | Automatic Road Extraction with Multi-Source Data Revisited: Completeness, Smoothness and Discrimination | 2023 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 43 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00046060254 |
| 447 | ALEX: An Updatable Adaptive Learned Index | 2020 | SIGMOD | 0.00018322593 |
| 477 | The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds | 2020 | VLDB | 0.00017851226 |
| 790 | FITing-Tree: A Data-aware Index Structure | 2019 | SIGMOD | 0.0001401445 |
| 873 | Learning Multi-dimensional Indexes | 2020 | SIGMOD | 0.00013481915 |
| 1,135 | Qd-tree: Learning Data Layouts for Big Data Analytics | 2020 | SIGMOD | 0.00012032847 |
| 3,345 | Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter | 2020 | SIGMOD | 7.4975085e-05 |
| 4,984 | SEAL: Spatio-Textual Similarity Search | 2012 | VLDB | 6.412239e-05 |
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