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

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

21 October 2022

Tong Nie

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

5 / 5 papers shown

Title
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks Qishen Zhou Yifan Zhang Michail A. Makridis Anastasios Kouvelas Yibing Wang Simon Hu AI4TS 75 1 0 21 Jan 2025
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach Qiqing Wang Kaidi Yang FedML 27 8 0 22 Jan 2024
Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns Tong Nie Guoyang Qin Jian-jun Sun 19 49 0 19 May 2022
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging Yuankai Wu Dingyi Zhuang Mengying Lei A. Labbe Lijun Sun AI4TS 30 25 0 24 Sep 2021
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm Canyi Lu Jiashi Feng Yudong Chen W. Liu Zhouchen Lin Shuicheng Yan 49 731 0 10 Apr 2018