Research Article
Decision Tree-Based Maneuver Prediction for Driver Rear-End Risk-Avoidance Behaviors in Cut-In Scenarios
Table 4
DT classification rules.
| | Node | Rules: IF… | THEN | Probability |
| | 3 | IF (D_F <= 17.00) AND (TTC_F <= 5.83) | BRK | 89.2% | | 8 | IF (D_F <= 17.00) AND (TTC_F > 5.83) AND (A == 1) | BRK | 79.2% | | 13 | IF (D_F <= 17.00) AND (TTC_F > 5.83) AND (A == 0) AND (N <= 2.5) | BRK | 100% | | 14 | IF (D_F <= 17.00) AND (TTC_F > 5.83) AND (A == 0) AND (N > 2.5) | LC | 72.2% | | 11 | IF (D_F > 17.00) AND (E > 5.5) AND (G == 1) | LC | 91.3% | | 12 | IF (D_F > 17.00) AND (E > 5.5) AND (G == 0) | BRK | 87.5% | | 18 | IF (D_F > 17.00) AND (E <= 5.5) AND (A == 1) AND (N > 1.5) | BRK | 83.7% | | 16 | IF (D_F > 17.00) AND (E <= 5.5) AND (A == 0) AND (N > 2.5) | LC | 85.7% | | 19 | IF (D_F > 17.00) AND (E <= 5.5) AND (A == 0) AND (N <= 2.5) AND (D_F <= 25.94) | BRK | 92.3% | | 20 | IF (D_F > 17.00) AND (E <= 5.5) AND (A == 0) AND (N <= 2.5) AND (D_F > 25.94) | LC | 57.5% | | 22 | IF (D_F > 17.00) AND (E <= 5.5) AND (A == 1) AND (N <= 1.5) AND (E > 3.5) | BRK | 100% | | 21 | IF (D_F > 17.00) AND (A == 1) AND (N <= 1.5) AND (E <= 3.5) | LC | 65.9% |
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