Estimating Urban Arterial Traffic Speed Distributions Using XGBoostLSS

Engineering

• Prediction 100%
• Model 100%
• Traffic Volume 66%
• Percentile 66%
• Segment Length 66%
• Speed Limit 66%
• Density 66%
• Development 33%
• Characteristics 33%
• Speed Data 33%
• Dataset 33%
• Control Strategy 33%
• Estimation 33%
• Directional 33%
• Traffic Pattern 33%
• Critical Input 33%
• Predictor Variable 33%
• Dynamic Nature 33%
• Good Accuracy 33%
• Accident Prevention 33%
• Application 33%
• Performance 33%
• Planning 33%
• Traffic Control 33%
• Traffic Management 33%
• Evaluation 33%
• Mathematical Model 33%
• Global Positioning System 33%