A Multiscale-Grid-Based Stacked Bidirectional GRU Neural Network Model for Predicting Traffic Speeds of Urban Expressways.
Deqi ChenXuedong YanXiaobing LiuShurong LiLiwei WangXinmei TianPublished in: IEEE Access (2021)
Keyphrases
- neural network model
- multiscale
- traffic congestion
- urban traffic
- transportation networks
- traffic flows
- neural network
- artificial neural networks
- public transport
- network architecture
- traffic flow
- multilayer perceptron
- public transportation
- wavelet transform
- using artificial neural networks
- image processing
- bp neural network
- traffic control
- road traffic
- rbf neural network
- neural models
- traffic management
- network traffic
- input variables
- edge detection
- real time
- high speed
- growing neural gas
- traffic light
- multiresolution
- scale space
- traffic conditions
- image segmentation
- traffic patterns
- urban areas
- wavelet domain
- road network
- support vector
- travel time
- data sets