Spatiotemporal Attention-Based Graph Convolution Network for Segment-Level Traffic Prediction.
Duo LiJoan LasenbyPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- network traffic
- prediction accuracy
- traffic analysis
- network traffic monitoring
- graphical representation
- internet traffic
- high speed networks
- traffic volume
- fully connected
- traffic load
- complex networks
- network resources
- congestion control
- transportation networks
- neural network
- telecommunication networks
- network layer
- spanning tree
- bipartite graph
- prediction model
- origin destination
- intermediate nodes
- network conditions
- traffic data
- application level
- resource utilization
- radial basis function network
- path length
- graph mining
- peer to peer
- traffic management
- atm networks
- strongly connected
- small world
- end to end
- random walk
- network configuration
- internet service providers
- mesh network
- image sequences