Research Article
Sensitivity Analysis Based SVM Application on Automatic Incident Detection of Rural Road in China
Table 2
Traffic state feature vector.
| Number | FDR | ROR | State | Number | FDR | ROR | State |
| 1 | 0.20 | 0.41 | 2 | 67 | 0.48 | 0.17 | 1 | 2 | 0.19 | 0.41 | 2 | 68 | 0.48 | 0.18 | 1 | 3 | 0.21 | 0.41 | 2 | 69 | 0.48 | 0.19 | 1 | 4 | 0.24 | 0.40 | 2 | 70 | 0.69 | 0.20 | 1 | 5 | 0.31 | 0.40 | 2 | 71 | 0.69 | 0.23 | 1 | 6 | 0.29 | 0.40 | 2 | 72 | 0.69 | 0.23 | 1 | 7 | 0.28 | 0.23 | 2 | 73 | 0.65 | 0.22 | 1 | 8 | 0.31 | 0.23 | 2 | 74 | 0.65 | 0.30 | 1 | 9 | 0.26 | 0.23 | 2 | 75 | 0.65 | 0.26 | 1 | 10 | 0.24 | 0.23 | 2 | 76 | 0.69 | 0.17 | 1 | 11 | 0.28 | 0.23 | 2 | 77 | 0.69 | 0.23 | 1 | 12 | 0.25 | 0.23 | 2 | 78 | 0.69 | 0.19 | 1 | 13 | 0.30 | 0.32 | 2 | 79 | 0.67 | 0.21 | 1 | 14 | 0.25 | 0.32 | 2 | 80 | 0.67 | 0.26 | 1 | 15 | 0.28 | 0.32 | 2 | 81 | 0.67 | 0.23 | 1 | 16 | 0.27 | 0.31 | 2 | 82 | 0.68 | 0.21 | 1 | 17 | 0.25 | 0.31 | 2 | 83 | 0.68 | 0.18 | 1 | 18 | 0.24 | 0.31 | 2 | 84 | 0.68 | 0.21 | 1 | 19 | 0.49 | 0.31 | 2 | 85 | 0.70 | 0.30 | 1 | 20 | 0.39 | 0.31 | 2 | 86 | 0.70 | 0.29 | 1 | 21 | 0.44 | 0.31 | 2 | 87 | 0.70 | 0.33 | 1 | 22 | 0.38 | 0.31 | 2 | 88 | 0.62 | 0.37 | 1 | 23 | 0.37 | 0.31 | 2 | 89 | 0.62 | 0.36 | 1 | 24 | 0.37 | 0.31 | 2 | 90 | 0.62 | 0.33 | 1 | 25 | 0.45 | 0.32 | 2 | 91 | 0.67 | 0.37 | 1 | 26 | 0.35 | 0.32 | 2 | 92 | 0.67 | 0.34 | 1 | 27 | 0.47 | 0.32 | 2 | 93 | 0.67 | 0.30 | 1 | 28 | 0.31 | 0.35 | 2 | 94 | 0.57 | 0.22 | 1 | 29 | 0.25 | 0.35 | 2 | 95 | 0.57 | 0.24 | 1 | 30 | 0.28 | 0.35 | 2 | 96 | 0.57 | 0.19 | 1 | 31 | 0.29 | 0.30 | 2 | 97 | 0.59 | 0.22 | 1 | 32 | 0.30 | 0.30 | 2 | 98 | 0.59 | 0.24 | 1 | 33 | 0.29 | 0.30 | 2 | 99 | 0.59 | 0.19 | 1 | 34 | 0.36 | 0.27 | 2 | 100 | 0.68 | 0.26 | 1 | 35 | 0.40 | 0.27 | 2 | 101 | 0.68 | 0.33 | 1 | 36 | 0.40 | 0.27 | 2 | 102 | 0.68 | 0.34 | 1 | 37 | 0.47 | 0.30 | 2 | 103 | 0.55 | 0.45 | 1 | 38 | 0.41 | 0.30 | 2 | 104 | 0.55 | 0.37 | 1 | 39 | 0.42 | 0.30 | 2 | 105 | 0.55 | 0.32 | 1 | 40 | 0.50 | 0.45 | 2 | 106 | 0.52 | 0.32 | 1 | 41 | 0.38 | 0.45 | 2 | 107 | 0.52 | 0.35 | 1 | 42 | 0.52 | 0.45 | 2 | 108 | 0.52 | 0.42 | 1 | 43 | 0.41 | 0.48 | 2 | 109 | 0.58 | 0.35 | 1 | 44 | 0.37 | 0.48 | 2 | 110 | 0.58 | 0.33 | 1 | 45 | 0.34 | 0.48 | 2 | 111 | 0.58 | 0.31 | 1 | 46 | 0.45 | 0.37 | 2 | 112 | 0.62 | 0.37 | 1 | 47 | 0.41 | 0.37 | 2 | 113 | 0.62 | 0.28 | 1 | 48 | 0.38 | 0.37 | 2 | 114 | 0.62 | 0.31 | 1 | 49 | 0.40 | 0.38 | 2 | 115 | 0.47 | 0.37 | 1 | 50 | 0.43 | 0.38 | 2 | 116 | 0.47 | 0.39 | 1 | 51 | 0.39 | 0.38 | 2 | 117 | 0.47 | 0.33 | 1 | 52 | 0.28 | 0.30 | 2 | 118 | 0.59 | 0.22 | 1 | 53 | 0.33 | 0.30 | 2 | 119 | 0.59 | 0.27 | 1 | 54 | 0.37 | 0.30 | 2 | 120 | 0.59 | 0.32 | 1 | 55 | 0.37 | 0.30 | 2 | 121 | 0.59 | 0.28 | 1 | 56 | 0.34 | 0.30 | 2 | 122 | 0.59 | 0.29 | 1 | 57 | 0.33 | 0.30 | 2 | 123 | 0.59 | 0.28 | 1 | 58 | 0.32 | 0.27 | 2 | 124 | 0.46 | 0.24 | 1 | 59 | 0.31 | 0.27 | 2 | 125 | 0.46 | 0.25 | 1 | 60 | 0.36 | 0.27 | 2 | 126 | 0.46 | 0.24 | 1 | 61 | 0.35 | 0.25 | 2 | 127 | 0.45 | 0.30 | 1 | 62 | 0.34 | 0.25 | 2 | 128 | 0.45 | 0.30 | 1 | 63 | 0.32 | 0.25 | 2 | 129 | 0.45 | 0.27 | 1 | 64 | 0.38 | 0.37 | 2 | 130 | 0.55 | 0.30 | 1 | 65 | 0.36 | 0.37 | 2 | 131 | 0.55 | 0.32 | 1 | 66 | 0.34 | 0.37 | 2 | 132 | 0.55 | 0.27 | 1 |
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