Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning

Table 5

Prediction results of GRNN.

Data name	Highway data	National and provincial highway data (month)	National and provincial highway data (quarter)	National and provincial highway data (year)
SPREAD	1.6	0.7	1.1	0.9
	0.534	0.491	0.832	0.863
MSE (%^2)	0.240	0.037	0.210	0.100
RMSE (%)	49.860	74.132	0.560	0.288
ME (%)	70.610	86.100	7.480	5.370
MAE (%)	−10.150	−12.150	−3.020	−8.960
MAPE (%)	0.542	0.622	0.048	0.102
RMSPE (%)	0.640	0.684	0.403	0.871
Running time (s)	5.156	7.016	12.313	19.031