Short-term traffic flow forecast experiments using a real traffic flow time series from Kaggle and other sources were used to compare the traditional forecast model: convolutional neural network (CNN) and machine learning model: Decision Tree (DT). The suggested LSTM network outperformed traditional models in terms of prediction accuracy, according to the results.
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Short-term traffic flow forecast experiments using a real traffic flow time series from Kaggle and other sources were used to compare the traditional forecast model: convolutional neural network (CNN) and machine learning model: Decision Tree (DT). The suggested LSTM network outperformed traditional models in terms of prediction accuracy, accord…
AishwaryaC97/Big-Data-Analysis-Traffic-Congestion-Prediction-USA
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Short-term traffic flow forecast experiments using a real traffic flow time series from Kaggle and other sources were used to compare the traditional forecast model: convolutional neural network (CNN) and machine learning model: Decision Tree (DT). The suggested LSTM network outperformed traditional models in terms of prediction accuracy, accord…
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