Development and evaluation of frameworks for real-time bus passenger occupancy prediction

Keyphrases

• Occupancy 100%
• Bus Passenger 100%
• Occupancy Prediction 100%
• Random Forest Regression 50%
• OD Pair 50%
• Linear Regression Model 25%
• System Information 25%
• Model Forest 25%
• Random Forest 25%
• Reliable Estimate 25%
• Transferability 25%
• System User 25%
• Demand Patterns 25%
• Weather Information 25%
• Transit System 25%
• Future Information 25%
• Historical Information 25%
• Transit Agency 25%
• Random Forest Machine Learning 25%
• Bus Route 25%
• Bus Service Quality 25%
• Counter Machines 25%
• Bus Operation 25%

Engineering

• Random Forest 100%
• End-Users 33%
• System User 33%

Computer Science

• Random Decision Forest 100%
• Historical Information 33%
• Critical Aspect 33%