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What is Hybrid CNN-LSTM Model for Traffic Prediction about?

This research presents a hybrid CNN-LSTM model for long-term urban road traffic flow prediction, utilizing traffic data from Paris to enhance prediction accuracy and reduce congestion. The model is evaluated using metrics such as R2, MAE, and RMSE, demonstrating superior performance compared to traditional CNN and LSTM models. The findings indicate that the CNN-LSTM model effectively captures temporal characteristics of traffic flow, making it suitable for intelligent transportation systems.

Author

qaker84

Language

EN