Principal graph embedding convolutional recurrent network for traffic flow prediction.
Yang HanShengjie ZhaoHao DengWenzhen JiaPublished in: Appl. Intell. (2023)
Keyphrases
- traffic flow
- graph embedding
- recurrent networks
- road traffic
- low dimensional
- cellular automata
- traffic data
- travel time
- intelligent transport systems
- traffic network
- traffic flows
- traffic congestion
- traffic light
- recurrent neural networks
- semi supervised
- traffic information
- discriminant analysis
- feed forward
- dimensionality reduction
- data representation
- neural network
- traffic conditions
- geometric properties
- biologically inspired
- subspace learning
- semi supervised learning
- lane change
- shortest path
- feature representation
- high dimensional
- computer vision
- machine learning