| Title | Relationship Between Track Geometry Defects and Measured Track Subsurface Condition |
|---|---|
| Record ID | 69195 |
| Personal Name Creator |
Zarembski, Allan M.; Yurlov, Dennis; Palese, Joseph; Attoh-Okine, Nii |
| Corporate Creator | University of Delaware |
| Corporate Contributor |
United States. Department of Transportation. Federal Railroad Administration. Office of Railroad Policy and Development; United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology |
| Publisher | United States. Department of Transportation. Federal Railroad Administration |
| Publication Date | 20200201 |
| Language | English |
| Abstract | This report presented the results of a comprehensive study regarding the development of a probability model for occurrence of track geometry defects as a function of key subgrade parameters, measured by Ground Penetrating Radar (GPR). The analysis used multiple track geometry runs and the associated track geometry degradation behavior combined with GPR data. Statistical analyses examined the relationship between the probability of significant geometry degradation and measured GPR parameters (e.g., ballast fouling index [BFI], ballast layer thickness [BLT]). A data analytics approach used hybrid analysis to include hierarchical clustering analysis with histogram data, Logistic Regression (LR) analysis, and performed an application of higher degree polynomial model. The result was a higher order polynomial LR model for determination of the probability of a track geometry surface defect occurring at locations with measured ballast fouling and measured ballast thickness. The results showed that there was a statistically significant relationship between high rates of geometry degradation and poor subsurface conditions as defined by the GPR parameters: BFI and BLT. Furthermore, the development of |
| Rosap ID | dot:44000 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/44000 |
| TRT Terms | Railroads; Railroad tracks; Ground penetrating radar; Data analysis; Track ballast; Logistic regression analysis; Research |
| General Subjects | track geometry; GPR; big data; ballast fouling index; BFI; ballast layer thickness; BLT; Logistic Regression; LR |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1733335 |
| Contract Number | DTFR53-16-C-00021 |
| Report Number | DOT/FRA/ORD-20/07; CIEG372133 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/69000/69100/69195/DOT-FRA-ORD-20-07_20200228.pdf |
| Format | |
| Database | NTL Digital Repository |