Research Article
New Role of Thermal Mapping in Winter Maintenance with Principal Components Analysis
Table 1
PCA statistical indicators for the French and UK routes.
| | Case study | 53 thermal fingerprints (12°C to 35°C) | 8 thermal fingerprints below 5°C | 4 thermal fingerprints below 5°C |
| French route | Weather conditions | Intermediate and extreme | Intermediate and extreme | Intermediate and extreme | Number of principal components (PC) used | 10 | 6 | 2 | Percentage of explained variance (with 1st PC) | 98 | 99 | 99 | Outliers detected (number of data points) | 1000 | 91 | 68 |
| | Case study | 19 thermal fingerprints (−3.4 to 6.4°C) | 8 thermal fingerprints below 6.4°C | 4 thermal fingerprints below 6.4°C |
| UK route | Weather conditions | Intermediate, extreme, and damped | 5 intermediate, 1 damped, 2 extreme | 2 intermediate, 1 damped, 1 extreme | Number of principal components (PC) used | 7 | 6 | 2 | Percentage of explained variance (with 1st PC) | 96 | 96 | 99 | Outliers detected (number of data points) | 410 | 74 | 71 |
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