Travel Time Estimation Using NiagaraST and latte
Summary: latte extends stream processing to support stream-archive queries over live traffic streams and large historical archives (PORTAL). Travel-time estimation demo uses NiagaraST-based latte to show stream-archive joins and aggregations for ITS data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kristin Tufte
- 2. Jin Li
- 3. David Maier
- 4. Vassilis Papadimos
- 5. Robert L. Bertini
- 6. James Rucker
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,788 | Consistency in a Stream Warehouse | 2011 | CIDR | 5.9200462e-05 |
| 9,114 | Data Stream Warehousing in Tidalrace | 2015 | CIDR | 4.3935469e-05 |
| 9,162 | Estimating Quantiles from the Union of Historical and Streaming Data | 2017 | VLDB | 4.3849295e-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 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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