Research Article

Sensitivity Analysis Based SVM Application on Automatic Incident Detection of Rural Road in China

Table 2

Traffic state feature vector.

NumberFDRRORStateNumberFDRRORState

10.200.412670.480.171
20.190.412680.480.181
30.210.412690.480.191
40.240.402700.690.201
50.310.402710.690.231
60.290.402720.690.231
70.280.232730.650.221
80.310.232740.650.301
90.260.232750.650.261
100.240.232760.690.171
110.280.232770.690.231
120.250.232780.690.191
130.300.322790.670.211
140.250.322800.670.261
150.280.322810.670.231
160.270.312820.680.211
170.250.312830.680.181
180.240.312840.680.211
190.490.312850.700.301
200.390.312860.700.291
210.440.312870.700.331
220.380.312880.620.371
230.370.312890.620.361
240.370.312900.620.331
250.450.322910.670.371
260.350.322920.670.341
270.470.322930.670.301
280.310.352940.570.221
290.250.352950.570.241
300.280.352960.570.191
310.290.302970.590.221
320.300.302980.590.241
330.290.302990.590.191
340.360.2721000.680.261
350.400.2721010.680.331
360.400.2721020.680.341
370.470.3021030.550.451
380.410.3021040.550.371
390.420.3021050.550.321
400.500.4521060.520.321
410.380.4521070.520.351
420.520.4521080.520.421
430.410.4821090.580.351
440.370.4821100.580.331
450.340.4821110.580.311
460.450.3721120.620.371
470.410.3721130.620.281
480.380.3721140.620.311
490.400.3821150.470.371
500.430.3821160.470.391
510.390.3821170.470.331
520.280.3021180.590.221
530.330.3021190.590.271
540.370.3021200.590.321
550.370.3021210.590.281
560.340.3021220.590.291
570.330.3021230.590.281
580.320.2721240.460.241
590.310.2721250.460.251
600.360.2721260.460.241
610.350.2521270.450.301
620.340.2521280.450.301
630.320.2521290.450.271
640.380.3721300.550.301
650.360.3721310.550.321
660.340.3721320.550.271