Nii Attoh-Okine, University of Delaware
The project looks at various track geometry field data and performs in-depth exploratory data analysis investigating the statistical distributions and variability of the various track geometry data variables. Correlation of various track geometry parameters will be investigated by employing various linear and rank correlation dependency measures. The project also attempts to analyze and present the track geometry data using multiway data analysis (also known as tensor factorization) which will address the multidimensional nature of the dataset.
Implementation of Research Outcomes