Improving the accuracy and efficiency of online calibration for simulation-based Dynamic Traffic Assignment

Keyphrases

• Online Calibration 100%
• Simulation-based Dynamic Traffic Assignment 100%
• Extended Kalman Filter 75%
• Large-scale Networks 50%
• Real-time Traffic Management 50%
• Online Application 25%
• Prediction Accuracy 25%
• Filter Method 25%
• Computational Performance 25%
• Solution Approach 25%
• Graph Coloring 25%
• Calibration Accuracy 25%
• Calibration Approach 25%
• Accuracy Performance 25%
• Real-world Deployment 25%
• Finite Difference Approach 25%
• Markovian 25%
• Dynamic Traffic Assignment Model 25%
• Traffic State 25%
• Assignment System 25%
• State Augmentation 25%
• Yield Improvement 25%
• Synthetic Experiment 25%
• Gradient Computation 25%
• Congested Networks 25%

Computer Science

• Extended Kalman Filter 100%
• Dynamic Traffic 100%
• Online Application 33%
• Prediction Accuracy 33%
• Graph Coloring 33%
• Difference Approach 33%
• Gradient Computation 33%
• Case Study 33%
• Traffic Control 33%
• Traffic Management 33%