Path Cost Distribution Estimation Using Trajectory Data
Summary: Proposes a hybrid graph that weights entire paths rather than edges to model time-varying, uncertain costs from trajectories. It optimizes a covering set of path-weights for a query path to yield accurate joint cost distributions and integrates with routing, validated on two cities. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jian Dai
- 2. Bin Yang
- 3. Chenjuan Guo
- 4. Christian S. Jensen
- 5. Jilin Hu
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,388 | Anytime Stochastic Routing with Hybrid Learning | 2020 | VLDB | 8.9047008e-05 |
| 8,287 | QARTA: An ML-based System for Accurate Map Services | 2021 | VLDB | 4.5392079e-05 |
| 11,049 | Efficient Stochastic Routing in Path-Centric Uncertain Road Networks | 2024 | VLDB | 4.1905499e-05 |
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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 |
|---|---|---|---|---|
| 326 | Optimal Histograms with Quality Guarantees | 1998 | VLDB | 0.0002737538 |
| 8,299 | Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models | 2013 | VLDB | 4.5392079e-05 |
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