Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network.
Tianlin ZhangYing LiuZhenyu CuiJiaxu LengWeihong XieLiang ZhangPublished in: ICCS (3) (2019)
Keyphrases
- recurrent neural networks
- short term
- long short term memory
- traffic congestion
- long term
- traffic flow
- chaotic time series
- feed forward
- travel time
- medium term
- load forecasting
- stock market
- road network
- neural network
- short term and long term
- forecasting model
- urban areas
- artificial neural networks
- traffic data
- traffic information
- recurrent networks
- short and long term
- hidden layer
- long term memory
- neuro fuzzy
- wind speed
- arima model
- network traffic
- focus of attention
- wind power
- information services
- shortest path