Simulation optimization of car-following models using flexible models

Keyphrases

• Car-following Behavior 20%
• Car-following Model 100%
• Conventional Vehicles 40%
• Data-driven Approach 40%
• Data-driven Estimation 20%
• Data-driven Methods 20%
• Existing Data 20%
• Flexible Model 100%
• Instrumented Vehicle 20%
• Intelligent Transportation Systems 20%
• Italy 20%
• Locally Weighted Regression 20%
• Loess 20%
• Longitudinal Interaction 20%
• Machine Learning Techniques 40%
• Methodological Framework 20%
• Microscopic Traffic Simulation 20%
• Naples 20%
• Next Generation Simulation (NGSIM) 20%
• Simulation Optimization 100%
• Traffic Behavior 20%
• Traffic Flow Theory 40%
• Training Dataset 20%
• Two-source 20%

Computer Science

• Collected Data 50%
• Conventional Model 50%
• Driven Approach 100%
• Instrumented Vehicle 50%
• Intelligent Transportation System 50%
• Learning System 50%
• Machine Learning 50%
• Machine Learning Technique 50%
• Training Dataset 50%

Chemical Engineering

• Learning System 100%