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Diversified Top-k Route Planning in Road Network

Summary: Diversified top-k routes for OD pairs under a similarity cap; minimize total length. Proposes edge deviation/concatenation to avoid heavy graph search; constant-time path-similarity with pruning; completeness- and efficiency-oriented acceleration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h48961645bcaf859f
Venue
VLDB
Year
2022
Pagerank
6.3616468e-05
Overall Rank
4,906 | 67.02%
DOI
10.14778/3551793.3551863

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{luo_vldb22,
        title = {{Diversified Top-k Route Planning in Road Network}},
        author = {Luo, Zihan and Li, Lei and Zhang, Mengxuan and Hua, Wen and Xu, Yehong and Zhou, Xiaofang},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {11},
        pages = {3199--3212},
        doi = {10.14778/3551793.3551863},
        url = {https://doi.org/10.14778/3551793.3551863},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
9,917 Effective and Efficient Route Planning Using Historical Trajectories on Road Networks 2023 VLDB 5.1103839e-05
11,123 Bursting Flow Query on Large Temporal Flow Networks 2025 SIGMOD 4.9793485e-05
11,309 Beyond Shortest Paths: Node Fairness in Route Recommendation 2025 VLDB 4.9793485e-05
11,665 Expanding Reverse Nearest Neighbors 2024 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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