Predicting Near-Term Train Schedule Performance and Delay Using Bi-Level Random Forests

Keyphrases

• Primary Level 100%
• Random Forest 100%
• Passenger Train 100%
• Train Delay 100%
• Schedule Delay 100%
• Bi-level 100%
• Schedule Performance 100%
• Train Scheduling 100%
• Time of Arrival 50%
• Secondary Level 50%
• Best Prediction 50%
• Specified Time 50%
• Prediction Accuracy 50%
• Machine Learning Approach 50%
• Netherlands 50%
• Statistical Learning 50%
• Random Forest Method 50%
• Bi-level Model 50%
• Train Delay Prediction 50%
• Railway Management 50%

Engineering

• Random Forest 100%
• Primary Level 100%
• Arrival Time 50%
• Frame Time 50%
• Railway 50%
• Level Model 50%
• Secondary Level 50%
• Learning Approach 50%