Feature engineering methodology for congestion forecasting

Business & Economics

• Congestion 100%
• Decision Tree 77%
• Machine Learning 65%
• Learning Process 61%
• Filter 52%
• Methodology 50%
• Feature Selection 40%
• Traffic Management 36%
• Capacity Allocation 33%
• Expert Knowledge 29%
• Prediction Model 25%
• Standard Deviation 23%
• Performance Indicators 23%
• Diagnostics 23%
• Robustness 20%

Social Sciences

• traffic 96%
• engineering 59%
• methodology 50%
• learning process 49%
• expert knowledge 39%
• diagnostic 28%
• expert 20%
• management 15%
• performance 15%

Engineering & Materials Science

• Decision trees 96%
• Machine learning 72%
• Random forests 52%
• Feature extraction 38%