Litcius/Paper detail

Kalman Filter-Based CNN-BiLSTM-ATT Model for Traffic Flow Prediction

Hong Zhang, Gang Yang, Hailiang Yu, Zan Zheng

2023Computers, materials & continua/Computers, materials & continua (Print)29 citationsDOIOpen Access PDF

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

Topics & Concepts

Kalman filterComputer scienceSoftmax functionConvolutional neural networkMean squared errorArtificial intelligenceFeature (linguistics)Pattern recognition (psychology)MathematicsStatisticsPhilosophyLinguisticsTraffic Prediction and Management Techniques
Kalman Filter-Based CNN-BiLSTM-ATT Model for Traffic Flow Prediction | Litcius