## 4 Discussion  
The sharp increase in the volume transported (34%), coupled with the less aggressive increase in tonnage per journey (20%), is an indication of the renewal of the fleet of trucks used in log transport, but also increased efficiency in managing the costs of logs mass transport. As above, the authors [PERSON] and [PERSON] [6] and [PERSON] et al. [10] show that the more intense the degradation of the forest road, the higher the transport costs will be. Table 2 presents a One-way ANOVA statistical analysis of wear resistance, expressed by Los Angeles and Micro Deval coefficients. The null hypothesis is taken into consideration, namely, all means are equal. It can be observed that the \(p\)-value of 6.00014 \(\times\) 10\({}^{-12}\), is much less than the alpha error value of 0.05. From this above observation, it can be concluded that the distribution of values is normal, meaning that the null hypothesis is rejected. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**No**} & \multirow{2}{*}{
\begin{tabular}{c} **Parameters of** \\ **Evaluation** \\ \end{tabular} } & \multirow{2}{*}{**UM**} & \multicolumn{4}{c}{**Technical Status Ratings**} & \multirow{2}{*}{**Real Values**} & \multirow{2}{*}{**Real Status**} \\ \cline{3-4} \cline{6-8}  & & & **Good Satisfactory** & & & & \\ \hline
1 & Traffic on crossable & t/year & \(\leq\)5000 & - & \(\geq\)5000 & 47,180 & I \\
2 & Granularity & - & Sand & Gravel & Stone & Gravel & S \\
3 & Dynamic & daN/cm\({}^{2}\) & 100 & 90 & 80 & 64.23 & I \\
4 & Crust resistance & \% & \(\leq\)30 & - & \(\geq\)25 & 21.26 & S \\
5 & Wear resistance & \% & \(\leq\)25 & - & \(\geq\)25 & 11.32 & S \\
6 & Fine particle content & \% & \(\leq\)2 & - & \(\geq\)2 & 2.34 & I \\
7 & Sand equivalent & \% & \(\geq\)30 & - & \(\leq\)30 & 52.5 & S \\
8 & Shape coefficient & \% & \(\geq\)25 & - & \(\leq\)25 & 15.6 & I \\
9 & Flat coefficient & \% & \(\geq\)25 & - & \(\leq\)25 & 20.4 & I \\
10 & Dynamic module & MN/m\({}^{2}\) & \(\geq\)100 & - & \(\leq\)100 & 68.25 & I \\
11 & Index of plasticity & \% & \(\leq\)10 & - & \(\geq\)10 & 21.4 & I \\
12 & Consistency index & - & \(\geq\)1 & - & \(\leq\)1 & 1.24 & S \\
13 & Bearing coefficient & \% & \(\geq\)85 & 70–85 & \(\leq\)70 & 90 & I \\
14 & Wear coefficient & \% & \(\leq\)20 & 20–35 & \(\geq\)35 & 48\% & I \\
15 & Med. elastic deform. & mm & 2.2–2.5 & 2.5–3.0 & \(\geq\)3.0 & 10 & I \\
16 & Degradations & pieces/km & \(\leq\)100 & 100–160 & \(\geq\)160 & 227 & I \\
17 & Damaged depth, & cm & 2 & 3 & 4 & 10 & I \\
18 & Damaged depth, & cm & 4 & 6 & 8 & 30 & I \\
19 & Damaged area & m\({}^{2}\)/km & \(\leq\)75 & 75–225 & \(\geq\)225 & 1483 & I \\
20 & Damaged area & \% & \(\leq\)2.5 & 2.5–7.5 & \(\geq\)7.5 & 49 & I \\ \hline \hline \end{tabular}  
* S–Suitable, I–Improperly.  
\end{table} 
Table 1: Technical evaluation of the Ciobanus forest road. In correlation with the results, [PERSON] et al. [4] found that the wear resistance of the road surface depends on the nature of the granular materials, making a prediction of this mechanical property depending on the materials used. By using the facilities offered by the statistical program Minitab 18, an Empirical CDF (Cumulative Distribution Function) curve was made (Figure 11), from which it can be to observe, besides the approximation of the real points by their normal empirical distribution, small values of the standard deviation of 0.67 and 0.59 for Los Angeles and Micro Deval coefficients, respectively. Assuming alternative hypothesis, namely not all means were equal or when was a difference in means, the test for equal variance, namely Levene test (with multiple comparisons) was used in the case of wear resistance (by Los Angeles and Micro Deval coefficients), obtained a \(p\)-Value of 0.0428. This value was compared with the alpha error of 0.05 and found that all values are in the confidence interval of 95% for normal distribution, respectively in the limits of \(\pm\)2 s, where s is the standard deviation of results.