Research Article

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

Table 2

Forecasting results for I-G1.

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

10.00210.340.2299.998.098.899.999.099.4
20.00300.290.1999.998.398.999.999.299.5
30.00070.440.2999.997.698.499.998.899.2
40.00300.440.6099.997.696.799.998.898.3
50.00030.561.4999.996.891.799.998.495.8
60.00240.513.1099.997.182.999.998.691.4
70.00410.635.1999.996.571.799.998.385.8
80.01250.617.0799.996.663.399.998.381.6
90.03665.699.867.899.983.9
100.09904.899.471.699.785.9
110.25126.598.564.299.382.1
120.60095.996.666.698.383.3
131.368510.1392.243.796.171.8
142.987283.391.6

Min0.00030.290.1983.343.763.391.671.881.6
Max2.987210.17.0799.998.398.999.999.299.5
Mean 1–80.0030.482.399.997.387.799.998.793.9
Mean 1–130.18342.898.984.198.992.0
Mean 1–140.383797.898.9