Network-wide Traffic State Forecast Using Discrete Wavelet Transform and Deep Learning
Author:
Affiliation:
1. Technical University of Munich,Chair of Transportation Systems Engineering,Department of Mobility systems Engineering,Munich,Germany
2. Technical University of Munich,Chair of Transportation Systems Engineering,Munich,Germany
Funder
Institute for Advanced Study
Alexander von Humboldt-Stiftung
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10241360/10241369/10241683.pdf?arnumber=10241683
Reference25 articles.
1. Learning traffic as a graph: A gated graph wavelet recurrent neural network for network-scale traffic prediction
2. Traffic Flow Prediction With Big Data: A Deep Learning Approach
3. A Network Traffic Prediction Model Based on Wavelet Transformation and LSTM Network
4. Network traffic prediction method based on wavelet transform and multiple models fusion
5. Traffic Flow Prediction via Spatial Temporal Graph Neural Network
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