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Efficient Stochastic Routing in Path-Centric Uncertain Road Networks

Summary: Adopts a path-centric uncertain road-network model to capture trajectory-induced dependencies in travel-cost distributions and shows existing stochastic routing is inefficient there. Proposes two cost-to-go heuristics and a 'virtual path' abstraction to enable stochastic-dominance pruning under dependencies, yielding much faster stochastic routing on real trajectory datasets. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13697
Venue
VLDB
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,254 | 22.79%
DOI
10.14778/3681954.3681971

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Authors

BibTeX Citation

@article{guo_vldb24,
        title = {{Efficient Stochastic Routing in Path-Centric Uncertain Road Networks}},
        author = {Guo, Chenjuan and Xu, Ronghui and Yang, Bin and Yuan, Ye and Kieu, Tung and Zhao, Yan and Jensen, Christian S.},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {11},
        pages = {2893--2905},
        doi = {10.14778/3681954.3681971},
        url = {https://doi.org/10.14778/3681954.3681971},
        year = {2024}
}

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Rank Citing Paper Year Venue Pagerank
10,883 TEAM: Topological Evolution-aware Framework for Traffic Forecasting 2025 VLDB 5.093636e-05
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