Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach

Author:

Nie TongORCID,Qin GuoyangORCID,Wang Yunpeng,Sun JianORCID

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Privacy-preserving data fusion for traffic state estimation: A vertical federated learning approach;Transportation Research Part C: Emerging Technologies;2024-07

3. Convolutional Low-Rank Tensor Representation for Structural Missing Traffic Data Imputation;IEEE Transactions on Intelligent Transportation Systems;2024

4. Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs;Transportation Research Part C: Emerging Technologies;2023-12

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