Kalman Filter-Based CNN-BiLSTM-ATT Model for Traffic Flow Prediction
Source abstract
Abstract
To accurately predict traffic flow on the highways, this paper proposes a Convolutional Neural Network-Bi-directional Long Short-Term Memory-Attention Mechanism (CNN-BiLSTM-Attention) traffic flow prediction model based on Ka... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Traffic Prediction and Management Techniques
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References (32)
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