Neural Architecture and Feature Search for Predicting the Ridership of Public Transportation Routes

Keyphrases

• Transportation Route 100%
• Ridership 100%
• Public Transportation 100%
• Search Feature 100%
• Machine Learning Models 60%
• Transit Route 60%
• Neural Network Training 40%
• Public Transit 40%
• Publicly Available 20%
• Public Health Risk 20%
• Prediction Error 20%
• Prediction Accuracy 20%
• Inconvenience 20%
• Vehicle-based 20%
• Deep Neural Network 20%
• Search Approach 20%
• Transit Agency 20%
• Route-based 20%
• Coronavirus Disease (COVID) 20%
• Hyperparameters 20%
• Chattanooga 20%
• Public Transit Agencies 20%
• Parameter Search 20%
• Ridership Forecasting 20%

Computer Science

• Public Transportation 100%
• Neural Network Training 66%
• Prediction Accuracy 33%
• Prediction Error 33%
• Deep Neural Network 33%