GCN-LSTM Combined Model for Urban Link Mean Speed Prediction in the Regional Traffic Network
Author:
Affiliation:
1. Chang’an University,School of Information Engineering,Xi’an,China
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9927523/9927699/09927766.pdf?arnumber=9927766
Reference21 articles.
1. Stacked LSTM Deep Learning Model for Traffic Prediction in Vehicle-to-Vehicle Communication
2. Forecasting Traffic Congestion Using ARIMA Modeling
3. An LSTM-Based Method with Attention Mechanism for Travel Time Prediction
4. Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning
5. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
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1. GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting;IEEE Transactions on Neural Networks and Learning Systems;2024-09
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