Predicting Traffic Flow Using Enhanced Long Short-Term Memory
In response to the urgent need for real-time, accurate traffic prediction in urban congestion, this study proposes an enhanced Long Short-Term Memory (LSTM)-based approach that leverages collaboration with cloud platforms. First, based on the LSTM model benchmark, a Convolutional Neural Network (CNN) is used to extract...