Research Article
Potential of Highly Automated Vehicles for Monitoring Fatigued Drivers and Explaining Traffic Accidents on Motorway Sections
Table 1
Summary of the effects of high-level AV on the reduction of AR.
| RF regimes | Reduction (%) | Penetration rate of high-level automation (α) | α = 0.1 | α = 0.3 | α = 0.5 | α = 0.7 | α = 0.9 |
| High (RF 0.4) | Ave. | 12.1 | 32.3 | 47.3 | 57.2 | 62.0 | Max. | 13.3 | 35.6 | 52.3 | 63.3 | 68.5 | Min. | 10.5 | 28.2 | 41.3 | 49.9 | 54.0 |
| Middle (0.2 ≤ RF < 0.4) | Ave. | 6.4 | 17.1 | 25.0 | 30.1 | 32.5 | Max. | 7.9 | 21.2 | 31.1 | 37.5 | 40.5 | Min. | 5.2 | 13.8 | 20.1 | 24.2 | 26.1 |
| Low (RF < 0.2) | Ave. | 0.9 | 2.5 | 3.6 | 4.2 | 4.5 | Max. | 3.1 | 8.4 | 12.3 | 14.7 | 15.8 | Min. | 0.1 | 0.3 | 0.4 | 0.5 | 0.5 |
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