Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

Title
Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values
Authors
Keywords
Recurrent neural network, Bidirectional LSTM, Backward dependency, Network-wide traffic prediction, Missing data, Data imputation
Journal
Publisher
Elsevier BV
Online
2020-07-10
DOI
10.1016/j.trc.2020.102674

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