An anomaly detection-based dynamic OD prediction framework for urban networks

Computer Science

• Anomaly-Based Detection 100%
• Based Prediction Framework 50%
• Detection Result 50%
• Dynamic Traffic 50%
• Kalman Filter Model 50%
• Pattern Detection 50%
• Prediction Framework 100%
• Prediction Model 50%
• Single Prediction 50%
• Traffic Demand 50%

INIS

• algorithms 14%
• control 14%
• data 14%
• demand 28%
• detection 100%
• dynamics 100%
• filters 14%
• information 14%
• noise 14%
• operation 14%
• origin 100%
• plates 14%
• prediction 100%
• principal component analysis 14%
• simulation 14%

Engineering

• Fields 14%
• Kalman Filter 14%
• Models 42%
• Nearest Neighbor 14%