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Path Cost Distribution Estimation Using Trajectory Data

Summary: Introduces hybrid graphs that learn time-varying path weights directly from trajectories, avoiding edge-level fragmentation and capturing cross-edge cost dependencies. Selects path covers to estimate query-path joint cost distributions and integrates them into routing. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11766
Venue
VLDB
Year
2017
Pagerank
5.3017894e-05
Overall Rank
9,230 | 36.68%
DOI
10.14778/3021924.3021926

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{dai_vldb17,
        title = {{Path Cost Distribution Estimation Using Trajectory Data}},
        author = {Dai, Jian and Yang, Bin and Guo, Chenjuan and Jensen, Christian S. and Hu, Jilin},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {3},
        pages = {85--96},
        doi = {10.14778/3021924.3021926},
        url = {https://doi.org/10.14778/3021924.3021926},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
3,694 Anytime Stochastic Routing with Hybrid Learning 2020 VLDB 7.1937882e-05
8,525 QARTA: An ML-based System for Accurate Map Services 2021 VLDB 5.4119882e-05
11,254 Efficient Stochastic Routing in Path-Centric Uncertain Road Networks 2024 VLDB 5.093636e-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
267 Optimal Histograms with Quality Guarantees 1998 VLDB 0.00022798161
8,541 Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models 2013 VLDB 5.4119882e-05
Previous Page 1 / 1 Next

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