SVRGSA: A hybrid learning based model for short-term traffic flow forecasting

Keyphrases

• Learning Model 100%
• Short-term Traffic Flow Prediction 100%
• Least Squares Support Vector Regression (LSSVR) 100%
• Hybrid Learning 100%
• Forecasting Model 50%
• Gravitational Search Algorithm 50%
• Prediction Accuracy 25%
• Time Series Forecasting 25%
• Incomplete Knowledge 25%
• Traffic Flow 25%
• Prediction Problems 25%
• Superior Performance 25%
• Regression Parameters 25%
• Nonlinear Regression 25%
• Data Pattern 25%
• Model Combining 25%
• Hyperparameters 25%
• Nonlinear Data 25%
• Robust Forecasting 25%
• Optimal Support 25%
• Hybrid Traffic Flow Model 25%
• Intelligent Transportation Systems 25%
• Traffic Flow Forecasting 25%

Computer Science

• Support Vector Regression 100%
• Gravitational Search Algorithm 50%
• Critical Component 25%
• Intelligent Transportation System 25%
• Series Prediction 25%
• Superior Performance 25%
• forecasting accuracy 25%
• Regression Parameter 25%
• Nonlinear Regression 25%

Engineering

• Search Algorithm 100%
• Nonlinear Regression 50%
• Prediction Problem 50%
• Lead Model 50%
• Intelligent Transportation System 50%