iRoad: A Framework For Scalable Predictive Query Processing On Road Networks
Summary: iRoad: scalable predictive query framework for road networks using a reachability tree to bound reachable nodes, enabling point, range, KNN, and aggregate queries. Scales to networks with millions of nodes; interactive GUI for predictive heatmaps. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,253 | Automatic Road Extraction with Multi-Source Data Revisited: Completeness, Smoothness and Discrimination | 2023 | VLDB | 4.1945683e-05 |
| 13,342 | RxSpatial: Reactive Spatial Library for Real-Time Location Tracking and Processing | 2016 | SIGMOD | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 389 | Query Processing in Spatial Network Databases | 2003 | VLDB | 0.00024620268 |
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