Leveraging Graph Neural Network with LSTM For Traffic Speed Prediction.
Zhilong LuWeifeng LvZhipu XieBowen DuRunhe HuangPublished in: SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Keyphrases
- neural network
- prediction model
- recurrent neural networks
- prediction accuracy
- vehicle speed
- pattern recognition
- real time
- prediction error
- chaotic time series
- neural network model
- mackey glass
- high speed
- neural network is trained
- protein function prediction
- directed graph
- short term prediction
- graph theory
- graph model
- graph representation
- traffic safety
- artificial neural networks
- feed forward
- back propagation
- network traffic
- bipartite graph
- random walk
- neural network ensemble
- self organizing maps
- graph theoretic
- graph matching
- connected components
- short term
- network architecture
- road network
- directed acyclic graph
- multilayer perceptron
- genetic algorithm