Urban Traffic Flow Prediction Using LSTM and GRU

Urban Traffic Flow Prediction Using LSTM and GRU

For smart cities, the issue of how to solve traffic chaos has always attracted public attention. Many studies have proposed various solutions for traffic flow prediction, such as ARIMA, ANN, and SVM. With the breakthrough of deep learning technology, the evolutionary models of RNN, such as LSTM (Lon...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Hung-Chin Jang, Che-An Chen
التنسيق: مقال
اللغة:English
منشور في: MDPI AG 2024-01-01
سلاسل:Engineering Proceedings
الموضوعات:
traffic flow prediction
deep learning
LSTM (Long Short-Term Memory)
GRU (Gated Recurrent Units)
الوصول للمادة أونلاين:https://www.mdpi.com/2673-4591/55/1/86

الانترنت

https://www.mdpi.com/2673-4591/55/1/86

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