## 3 Results
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c} \hline \hline
**No** & \(X_{1}\) & \(X_{2}\) & \(X_{3}\) & \(X_{4}\) & \(X_{5}\) & \(X_{6}\) & \(X_{7}\) & \(X_{8}\) & \(X_{9}\) & \(X_{10}\) & \(X_{11}\) & \(X_{12}\) & \(X_{13}\) \\ \hline
1 & 9.56 & 7.56 & 6.45 & 1.47 & 0.237 & 6.722 & 0.50 & 0.89 & 0.20 & 0.07 & 1.4 & 0.20 & 0.50 \\
2 & 10.17 & 7.14 & 7.90 & 1.28 & 0.239 & 8.921 & 0.80 & 0.88 & 0.20 & 0.03 & 2.6 & 0.26 & 0.80 \\
3 & 9.61 & 7.08 & 7.95 & 1.61 & 0.241 & 9.537 & 0.50 & 0.9 & 0.10 & 0.02 & 2.8 & 0.28 & 0.50 \\
4 & 9.67 & 7.42 & 6.95 & 2.17 & 0.245 & 8.211 & 0.40 & 0.92 & 0.20 & 0.02 & 3.2 & 0.28 & 0.40 \\
5 & 9.83 & 7.53 & 6.5 & 1.56 & 0.268 & 8.105 & 0.20 & 0.93 & 0.10 & 0.03 & 2.8 & 0.32 & 0.20 \\
6 & 9.67 & 7.03 & 6.58 & 2.33 & 0.118 & 8.951 & 0.30 & 0.91 & 0.20 & 0.06 & 1.8 & 0.20 & 0.30 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Data on the heavy-duty transport stage of some mining trucks. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c c} \hline \hline  & & & & & & & & & & & & & & & \\ \hline
**Index** & \(X_{1}\) & \(X_{2}\) & \(X_{3}\) & \(X_{4}\) & \(X_{5}\) & \(X_{6}\) & \(X_{7}\) & \(X_{8}\) & \(X_{9}\) & \(X_{10}\) & \(X_{11}\) & \(X_{12}\) & \(X_{13}\) \\ \hline \(X_{1}\) & \(1\) & \(-\)0.207 & 0.445 & \(-\)0.477 & 0.202 & 0.301 & 0.538 & \(-\)0.305 & 0.096 & \(-\)0.336 & 0.310 & 0.320 & 0.538 \\ \(X_{2}\) & \(-\)0.207 & \(1\) & \(-\)0.602 & \(-\)0.244 & 0.613 & \(-\)0.864 & \(-\)0.313 & 0.334 & \(-\)0.046 & 0.138 & \(-\)0.031 & 0.221 & \(-\)0.313 \\ \(X_{3}\) & 0.445 & \(-\)0.602 & \(1\) & \(-\)0.391 & 0.235 & 0.701 & 0.728 & \(-\)0.527 & \(-\)0.189 & \(-\)0.623 & 0.465 & 0.283 & 0.728 \\ \(X_{4}\) & \(-\)0.477 & \(-\)0.244 & \(-\)0.391 & \(1\) & \(-\)0.669 & 0.177 & \(-\)0.568 & 0.537 & 0.284 & 0.097 & 0.025 & \(-\)0.247 & \(-\)0.568 \\ \(X_{5}\) & 0.202 & 0.613 & 0.235 & \(-\)0.669 & \(1\) & \(-\)0.267 & 0.191 & 0.046 & \(-\)0.432 & \(-\)0.538 & 0.516 & 0.700 & 0.191 \\ \(X_{6}\) & 0.301 & \(-\)0.864 & 0.701 & 0.1 principle of principal component analysis, the principle of cumulative contribution rate \(\alpha_{p}\geq 85\%\) was strictly followed, and the data were processed using Formulas (18) to (20). The cumulative contribution rate of the first three principal components was calculated as high as 87.820% (>85%). Therefore, the first three principal components basically represent 89% of the information content of the 13 driving behavior characteristics. The specific principal component characteristic value and cumulative contribution rate are shown in Table 6.  
According to the analysis in Table 6:  
(1) The characteristic value of principal component 1 is 4.7010, and the contribution rate is 36.162%. The driving behavior characteristics of drivers with higher loads are maximum driving speed, minimum acceleration, average acceleration, standard deviation of speed, and uniform acceleration ratio column, which are all related to the driver's standard driving. Therefore, principal component 1 can be named \"standard driving factor\". (2) The characteristic value of principal component 2 is 4.1361, and the contribution rate is 31.817%. The driving behavior characteristics of drivers with higher loads are minimum driving speed, uniform speed ratio, maximum acceleration, and fuel consumption, which are all related to prudent driving. Principal component 2 can be named \"prudent driving factor\". (3) The characteristic value of principal component 3 is 2.5795, and the contribution rate is 19.872%. The driving behavior characteristics of drivers with higher loads are average driving speed, overspeed ratio, sudden braking ratio, and rapid acceleration ratio, which reflect the aggressive driving information of drivers. Principal component 3 can be named \"aggressive driving factor\".