Research Article

A Novel Multilevel-SVD Method to Improve Multistep Ahead Forecasting in Traffic Accidents Domain

Table 3

Forecasting results for I-G2.

h
(week)
(%)(%)
MSVD + ARSWT + ARSWT + ANNMSVD + ARSWT + ARSWT + ANNMSVD + ARSWT + ARSWT + ANN

10.000480.620.9199.997.997.199.998.998.5
20.000090.560.8499.998.197.299.999.198.6
30.001320.851.6499.997.294.499.998.697.2
40.000580.833.8499.997.287.199.998.693.5
50.001051.128.6899.996.371.499.998.285.7
60.002491.0513.7899.996.655.199.998.377.6
70.007611.2214.6799.995.947.299.997.973.6
80.024181.1815.3499.996.042.799.998.071.3
90.0707110.499.865.699.982.8
100.190629.599.468.899.784.4
110.4829112.598.558.699.279.3
121.1583711.696.360.698.280.3
132.6416119.691.636.495.868.2
145.7748281.990.9

Min0.000090.560.8481.936.442.790.968.271.3
Max5.7748219.615.399.998.197.299.999.198.6
Mean 1–80.0040.937.599.996.974.099.998.587.0
Mean 1–130.355.598.981.999.490.9
Mean 1–140.7497.798.8