PLSTM: Long Short-Term Memory Neural Networks for Propagatable Traffic Congested States Prediction.
Yuxin ZhengLyuchao LiaoFumin ZouMing XuZhihui ChenPublished in: ICGEC (2019)
Keyphrases
- neural network
- recurrent neural networks
- long short term memory
- traffic congestion
- prediction accuracy
- artificial neural networks
- traffic conditions
- artificial neural networks to predict
- prediction algorithm
- feed forward
- prediction model
- chaotic time series
- prediction error
- pattern recognition
- traffic flow
- multi layer perceptron
- road network
- network traffic
- neural networks and support vector machines
- neural network ensemble
- neural nets
- network resources
- fuzzy logic
- genetic algorithm
- traffic control
- radial basis function
- anomaly detection