An Adaptive Prediction Model for Randomly Distributed Traffic Data in Urban Road Networks

Computer Science

• Attention (Machine Learning) 100%
• Prediction Model 100%
• Temporal Graph 100%
• Prediction Accuracy 66%
• Spatial Correlation 66%
• Traffic Prediction 33%
• Parameter Estimation 33%
• Baseline Method 33%
• Dynamic Traffic 33%
• Traffic Network 33%
• Adverse Impact 33%
• Graph Convolutional Network 33%
• Potential Issue 33%
• Data Distribution 33%
• Prediction Performance 33%
• Computational Resource 33%
• Correlation Matrix 33%
• Computational Time 33%
• Deep Learning Method 33%
• Machine Learning 33%
• Learning System 33%
• Intelligent Transportation System 33%
• Traffic Management 33%