A Hybrid Model for Lane-Level Traffic Flow Forecasting Based on Complete Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting.
Wenqi LuYikang RuiZiwei YiBin RanYuanli GuPublished in: IEEE Access (2020)
Keyphrases
- traffic flow
- hybrid model
- forecasting accuracy
- empirical mode decomposition
- gradient boosting
- stock market prediction
- support vector regression
- arima model
- artificial neural networks
- non stationary
- loss function
- cellular automata
- neural network
- short term
- ensemble learning
- feature selection
- support vector machine svm
- base learners
- prediction model
- image processing
- data mining