Local-Global Dynamic Information Fusion Graph Learning for Traffic Flow Prediction
Author:
Affiliation:
1. College of Information Science & Technology, Beijing University of Chemical Technology,Beijing,China,100029
2. Macao Polytechnic University,Faculty of Applied Sciences,Macao SAR,P.R. China,999078
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10606543/10606546/10606619.pdf?arnumber=10606619
Reference15 articles.
1. Cooperative Intelligent Transport Systems: Choreography-Based Urban Traffic Coordination
2. An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System
3. Multi-view dynamic graph convolution neural network for traffic flow prediction
4. Adaptive Spatiotemporal InceptionNet for Traffic Flow Forecasting
5. Features injected recurrent neural networks for short-term traffic speed prediction
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