Efficient kNN Search in Public Transportation Networks
Summary: Introduces a lightweight, path-index-free index for kNN search over public-transit networks, achieving near-optimal query complexity while scaling to large graphs. Experiments show up to 10,000× faster queries and 100× faster construction than prior methods. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Qingshuai Feng (University of New South Wales)
- 2. Junhua Zhang (University of New South Wales)
- 3. Wenjie Zhang (University of New South Wales)
- 4. Lu Qin (University of Technology Sydney)
- 5. Ying Zhang (University of Technology Sydney)
- 6. Xuemin Lin (Shanghai Jiao Tong University)
BibTeX Citation
@article{feng_vldb24,
title = {{Efficient kNN Search in Public Transportation Networks}},
author = {Feng, Qingshuai and Zhang, Junhua and Zhang, Wenjie and Qin, Lu and Zhang, Ying and Lin, Xuemin},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3402--3414},
doi = {10.14778/3681954.3682009},
url = {https://doi.org/10.14778/3681954.3682009},
year = {2024}
}
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