Characterizing regimes in daily cycles of urban traffic using smooth-transition regressions

Business & Economics

• Smooth Transition Regression 100%
• Nonlinearity 32%
• Regression Model 29%
• Congestion 24%
• Smooth Transition Models 18%
• Phase Transition 17%
• Athens 16%
• Modeling 14%
• Artificial Neural Network 12%
• Network Model 12%
• Greece 11%
• Logistics 9%
• Methodology 6%

Social Sciences

• traffic 70%
• regime 50%
• regression 46%
• time series 25%
• ample evidence 16%
• neural network 14%
• Greece 11%
• logistics 9%
• methodology 6%
• evidence 5%
• time 4%

Engineering & Materials Science

• Time series 20%
• Logistics 10%
• Detectors 9%
• Neural networks 7%