STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting
Author:
Affiliation:
1. Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10415628/10415561/10415732.pdf?arnumber=10415732
Reference22 articles.
1. How machine learning could help to improve climate forecasts
2. Crowd-Sourced Data Collection for Urban Monitoring via Mobile Sensors
3. Diffusion convolutional recurrent neural network: Data-driven traffic forecasting;Li;arXiv preprint arXiv:1707.01926,2017
4. Graph WaveNet for Deep Spatial-Temporal Graph Modeling
5. GMAN: A Graph Multi-Attention Network for Traffic Prediction
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