Research Article
Highway Traffic Crash Risk Prediction Method considering Temporal Correlation Characteristics
Table 5
Prediction results of dynamic Bayesian network model considering different time series.
| The model number | Accuracy of prediction results | Contains time series | Overall prediction accuracy (%) | Accuracy of crash prediction (%) | Accuracy of non-crash prediction (%) | G-value | F-value |
| 1 | 84.9 | 60.8 | 92.3 | 0.748 | 0.649 | 12 | 2 | 83.8 | 58.8 | 93.4 | 0.741 | 0.640 | 23 | 3 | 83.5 | 57.7 | 91.8 | 0.728 | 0.634 | 34 | 4 | 81.7 | 50.7 | 88.4 | 0.670 | 0.589 | 45 | 5 | 85.9 | 61.1 | 92.9 | 0.753 | 0.653 | 123 | 6 | 83.5 | 58.7 | 91.4 | 0.733 | 0.640 | 234 | 7 | 82.5 | 54.7 | 90.4 | 0.703 | 0.615 | 345 | 8 | 84.8 | 59.7 | 92.8 | 0.744 | 0.645 | 1234 | 9 | 83.8 | 56.7 | 92.1 | 0.723 | 0.627 | 2345 | 10 | 85.1 | 59.8 | 93.2 | 0.746 | 0.646 | 12345 |
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