A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Methodology to Characterize Ideal Short-Term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-Based Correcting Function
Methodology to Characterize Ideal Short-Term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-Based Correcting Function
Methodology to Characterize Ideal Short-Term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-Based Correcting Function
Figliozzi, Miguel (author) / Johnson, Pam / Monsere, Christopher / Nordback, Krista
2014
Article (Journal)
Unknown
Estimation of AADT volumes using neural networks
| British Library Conference Proceedings | 1995
Comparison of Four Modeling Techniques for Short-Term AADT Forecasting in Hong Kong
| Online Contents | 2003