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RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using
  Traffic Forecasting

RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using Traffic Forecasting

11 June 2022
Shreshth Tuli
Matthew R. Wilkinson
C. Kettell
ArXivPDFHTML

Papers citing "RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using Traffic Forecasting"

2 / 2 papers shown
Title
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident
  Impact Prediction on Traffic Networks
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks
Yanshen Sun
Kaiqun Fu
Chang-Tien Lu
AI4TS
AI4CE
35
2
0
21 Mar 2023
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CML
BDL
AI4TS
108
229
0
18 Jan 2021
1