TARGCN: temporal attention recurrent graph convolutional neural network for traffic prediction

Author:

Yang He,Jiang Cong,Song YunORCID,Fan Wendong,Deng Zelin,Bai Xinke

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Springer Science and Business Media LLC

Reference37 articles.

1. Williams BM, Hoel LA (2003) Modeling and forecasting vehicular traffic flow as a seasonal ARIMA process: Theoretical basis and empirical results[J]. J Transp Eng 129(6):664–672

2. Lu Z, Zhou C, Wu J et al (2016) Integrating granger causality and vector auto-regression for traffic prediction of largescale WLANs [J]. KSII Trans Internet Inf Syst 10(1):136–151

3. Wu CH, Ho JM, Lee DT (2004) Travel-time prediction with support vector regression [J]. IEEE Trans Intell Transp Syst 5(4):276–281

4. Van Lint JWC, Van Hinsbergen C (2012) Short-term traffic and travel time prediction models[J]. Artificial Intelligence Applications to Critical Transportation Issues 22(1):22–41

5. Shi X, Chen Z, Wang H et al (2015) Convolutional LSTM network: A machine learning approach for precipitation nowcasting[J]. Adv Neural Inf Process Syst 28:802–810

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