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Towards better traffic volume estimation: Jointly addressing the
  underdetermination and nonequilibrium problems with correlation-adaptive GNNs

Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs

10 March 2023
Tong Nie
Guoyang Qin
Yunpeng Wang
Jiangming Sun
ArXivPDFHTML

Papers citing "Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs"

3 / 3 papers shown
Title
MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks
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
Truncated tensor Schatten p-norm based approach for spatiotemporal
  traffic data imputation with complicated missing patterns
Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns
Tong Nie
Guoyang Qin
Jian-jun Sun
29
49
0
19 May 2022
Spatial Aggregation and Temporal Convolution Networks for Real-time
  Kriging
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
1