Empirical evaluation of machine learning models for fuel consumption, driver identification, and behavior prediction

Computer Science

• Machine Learning 100%
• Learning System 100%
• Driving Behavior 60%
• Prediction Accuracy 20%
• Detailed Investigation 20%
• Phase Estimation 20%
• Data Characteristic 20%
• Computational Cost 20%
• Transportation Planning 20%
• Performance Driver 20%

Engineering

• Learning System 100%
• Reducing Emission 25%
• Machine Learning Method 25%
• Computational Cost 25%
• Phase Estimation 25%
• Data Characteristic 25%

Keyphrases

• Mobility Scenarios 25%
• Action Prediction 25%
• Non-temporal 25%
• Phase Estimation 25%