· 2016
Using LSTM and GRU neural network methods for traffic flow prediction
- 1,416citations
- 2016year
Short summary
This paper demonstrates that Recurrent Neural Network (RNN) based deep learning models, specifically LSTM and GRU, outperform traditional ARIMA models for short-term traffic flow prediction.
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Building and ConstructionEngineering