Research Article
Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters
Table 2
Results of single features classification.
| Material | Precision | Recall | Events | Precision | Recall | (% SD) | (% SD) | (% SD) | (% SD) |
| smooth surf. | 95.8 0.7 | 97.6 0.7 | good | 83.9 1.5 | 92.4 2.7 | damaged asph. | 97.3 2.0 | 94.9 1.4 | light dam. | 78.5 3.8 | 70.8 3.3 | damaged con. | 95.6 0.8 | 92.9 1.1 | pothole | 85.3 6.6 | 77.4 7.2 | cobblestones | 99.1 1.8 | 100.0 0.0 | manhole | 40.9 13.6 | 29.1 15.7 | | | | railway cro. | 61.6 4.9 | 57.0 7.9 | | | | speed bump | 94.9 7.1 | 91.0 12.2 |
| Average | 96.4 0.8 | 96.4 0.8 | | 74.2 6.3 | 69.6 8.1 | Accuracy | 96.1 0.4 | | 81.0 1.7 |
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