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k-Nearest Neighbors on Road Networks: A Journey in Experimentation and In-Memory Implementation

Summary: In-memory evaluation of kNN on road networks, comparing network distance with Euclidean proxies and reproducing state-of-the-art methods fairly. Revisits the discarded IER approach with a simple improvement, often achieving the best performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11528
Venue
VLDB
Year
2016
Pagerank
6.0659596e-05
Overall Rank
5,851 | 59.86%
DOI
10.14778/2850583.2850592

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{abeywickrama_vldb16,
        title = {{k-Nearest Neighbors on Road Networks: A Journey in Experimentation and In-Memory Implementation}},
        author = {Abeywickrama, Tenindra and Cheema, Muhammad Aamir and Taniar, David},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {6},
        pages = {492--503},
        doi = {10.14778/2850583.2850592},
        url = {https://doi.org/10.14778/2850583.2850592},
        year = {2016}
}

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