## 1 Introduction
### Prediction Experiment of Optimal Configuration of Plant Landscape
#### 3.1.3 Verification Test  
The optimal configuration for the plant landscape was determined using the BBD response surface method. To facilitate practical implementation and actual planting, the optimal configuration was adjusted to a green color, a height of 4 m, a roadside distance of  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Source**} & **Sum of** & \multirow{2}{*}{**df**} & **Mean** & **F** & \(p\)**-Value** & \\  & **Squares** & & **Square** & **Value** & **Prob \textgreater{} F** & \\ \hline Model & 9.22 & 14 & 0.66 & 4.5 & \textless{}0.0001 & ** \\ A—Color & 0.083 & 1 & 0.083 & 5.7 & 0.0317 & * \\ B—Height & 0.32 & 1 & 0.32 & 22.11 & 0.0003 & ** \\ C—Roadside Distance & 0.86 & 1 & 0.86 & 58.7 & \textless{}0.001 & ** \\ D—Plant spacing & 0.11 & 1 & 0.11 & 7.67 & 0.0151 & * \\ AB & 0.011 & 1 & 0.011 & 0.75 & 0.4 & \\ AC & 0.012 & 1 & 0.012 & 0.83 & 0.3785 & \\ AD & 0.011 & 1 & 0.011 & 0.75 & 0.4 & \\ BC & 0.021 & 1 & 0.021 & 1.44 & 0.2505 & \\ BD & 0.016 & 1 & 0.016 & 1.07 & 0.3189 & \\ CD & 0.078 & 1 & 0.078 & 5.36 & 0.0363 & \\ A\({}^{2}\) & 0.058 & 1 & 0.058 & 3.93 & 0.0674 & \\ B\({}^{2}\) & 4.13 & 1 & 4.13 & 282.3 & \textless{}0.0001 & \\ C\({}^{2}\) & 4.77 & 1 & 4.77 & 326.35 & \textless{}0.0001 & \\ D\({}^{2}\) & 0.48 & 1 & 0.48 & 32.72 & \textless{}0.0001 & \\ Residual & 0.2 & 14 & 0.015 & & & \\ Lack of Fit & 0.19 & 10 & 0.019 & 3.78 & 0.1059 & not significant \\ Pure Error & 0.02 & 4 & 0.0049 & & & \\ Cor Total & 9.43 & 28 & & & & \\ \hline \hline \end{tabular} Note: * \(p<0.01\) indicates that the difference is extremely significant: * \(p<0.05\) indicates significant difference.  
\end{table}
Table 7: Results of the ANOVA of the standard deviation of lateral displacement.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Number**} & \multirow{2}{*}{**Color**} & \multirow{2}{*}{**Height**} & \multicolumn{2}{c}{**Solutions**} & \multirow{2}{*}{**Standard Deviation**} & \multirow{2}{*}{**Desirability**} \\  & & & **Roadside** & & & **Distance** \\
**Distance** & & & **Mean Speed** & & & \\
1 & 4.196 & 3.873 & 1.065 & 10.078 & 0.552 & 0.365 & 0.969 \\ \hline \hline \end{tabular}
\end{table}
Table 8: Optimal configuration selection criteria and prediction results.  
1 m, and a plant spacing of 10 m. Three verification tests were conducted. The test results indicate that the predicted value of the standard deviation of the mean velocity is 0.552, while the measured values are 0.51, 0.53, and 0.56, resulting in an average of 0.543. The relative deviation from the predicted value is 3.44% (<5%). The predicted value of the mean standard deviation of the lateral displacement is 0.365, and the measured values are 0.322, 0.384, and 0.359, with an average of 0.352. The relative deviation from the predicted value is 2.74%, which is also less than 5%, indicating that the model's predicted value is accurate.  
Furthermore, both the mean standard deviation of speed and lateral displacement are small, suggesting that the driver exhibits more stable driving behavior under this set of plant configurations. Consequently, the optimal plant landscape configuration obtained through the Box-Behnken response surface method can be effectively utilized for actual planting.