Real-time multi-sensor multi-source network data fusion using dynamic traffic assignment models

Keyphrases

• Assignment System 33%
• Consistent Approximation 33%
• Data Fusion Framework 33%
• Dynamic Traffic Assignment 33%
• Dynamic Traffic Assignment Model 100%
• Hooke-Jeeves Pattern Search 33%
• Inconsistency 33%
• Intercity 33%
• Loop Detector 33%
• Model Estimates 33%
• Motorway 33%
• Multi-sensor 100%
• Multi-source 33%
• Multi-source Networks 100%
• Network Condition 33%
• Network Data 100%
• Network State 33%
• Normalized Root Mean Square Error 33%
• Portugal 33%
• Predictive System 33%
• Real Network Data 33%
• Simulation-based Dynamic Traffic Assignment 33%
• State Estimation 33%
• State Forecast 33%
• Time Information 33%
• Traffic Network 33%
• Video Camera 33%
• West Coast 33%

Computer Science

• Approximation (Algorithm) 33%
• Data Fusion 100%
• Dynamic Traffic 100%
• multi sensor 100%
• Multi-Source 100%
• Network Condition 33%
• Pattern Search 33%
• State Estimation 33%
• Time Information 33%
• Traffic Network 33%