DeepTRANS: A Deep Learning System for Public Bus Travel Time Estimation using Traffic Forecasting
Summary: DeepTRANS extends a DL bus ETA model with predicted traffic forecasts to improve travel-time estimation. By fusing forecasted congestion as exogenous features, it yields about 21% accuracy gains over prior DL ETA baselines, highlighting forecast-informed data fusion for transport analytics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Luan Tran
- 2. Min Y. Mun
- 3. Matthew Lim
- 4. Jonah Yamato
- 5. Nathan Huh
- 6. Cyrus Shahabi
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,206 | Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting | 2022 | VLDB | 6.3595566e-05 |
| 8,294 | QARTA: An ML-based System for Accurate Map Services | 2021 | VLDB | 4.5435639e-05 |
| 8,346 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD | 4.5420668e-05 |
| 8,744 | A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis | 2024 | VLDB | 4.456315e-05 |
| 10,390 | RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning | 2025 | SIGMOD | 4.1945683e-05 |
| 11,512 | A Demonstration of QARTA: An ML-based System for Accurate Map Services | 2021 | VLDB | 4.1945683e-05 |
| 13,237 | Crosstown Foundry: A Scalable Data-driven Journalism Platform for Hyper-local News | 2021 | SIGMOD | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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