融合多车风格感知与交互特征的换道行为预测
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韩泽一,王文璇,王元庆
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Prediction of lane-changing behavior integrating multi-vehicle style perception and interaction features
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Zeyi HAN,Wenxuan WANG,Yuanqing WANG
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| 表 9 2.0 s窗口时间下前20个贡献度最高的特征值 |
| Tab.9 Top 20 features with highest contribution values under 2.0-second window time |
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| Rank | No. | $\overline{\rm{SHAP}} $值 | Co/% | | Rank | No. | $\overline{\rm{SHAP}} $值 | Co/% | | 1 | 1 | 1.279 | 19.38 | | 11 | 23 | 0.159 | 2.41 | | 2 | 43 | 0.941 | 14.26 | | 12 | 6 | 0.159 | 2.41 | | 3 | 25 | 0.624 | 9.46 | | 13 | 80 | 0.143 | 2.17 | | 4 | 32 | 0.383 | 5.82 | | 14 | 44 | 0.141 | 2.14 | | 5 | 27 | 0.310 | 4.70 | | 15 | 126 | 0.122 | 1.86 | | 6 | 127 | 0.287 | 4.36 | | 16 | 124 | 0.119 | 1.81 | | 7 | 2 | 0.236 | 3.59 | | 17 | 67 | 0.092 | 1.39 | | 8 | 69 | 0.221 | 3.36 | | 18 | 125 | 0.073 | 1.11 | | 9 | 86 | 0.179 | 2.72 | | 19 | 122 | 0.072 | 1.10 | | 10 | 87 | 0.169 | 2.56 | | 20 | 70 | 0.066 | 1.00 |
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