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Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network

Summary: Nuhuo imputes missing road-link speed histograms by modeling regional, proximal, sparse, and volatile spatio-temporal dependencies. A global partition graph, disentangled global/local GNN-RNN encoders, attention fusion, and autoencoder self-supervision deliver robust state-of-the-art accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13589
Venue
VLDB
Year
2024
Pagerank
5.5074939e-05
Overall Rank
8,010 | 45.05%
DOI
10.14778/3654621.3654628

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yuan_vldb24,
        title = {{Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network}},
        author = {Yuan, Haitao and Cong, Gao and Li, Guoliang},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {7},
        pages = {1605--1617},
        doi = {10.14778/3654621.3654628},
        url = {https://doi.org/10.14778/3654621.3654628},
        year = {2024}
}

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