Interconnected Traffic Forecasting Using Time Distributed Encoder-Decoder Multivariate Multi-Step LSTM

Long Short-term Memory (LSTM) is a Recurrent Neural Network (RNN) that is widely used in time series traffic forecasting. LSTM captures both short-term and long-term trends and dependency in sequential data like time series data, as it contains specialized memory cells to store information in memory... View More