## 5 Result and Discussions  
\(CR_{network}\) is used to determine the overall reliability. which can be calculated as follows:  
\[CR_{network}=\sum_{s}u\rho(\sigma_{s}+D_{s})y_{s}\ \ \forall s\in S_{in-vehicle}\cup S_{ waiting} \tag{31}\]  
Equation (31) reflects the total buffer time, including passengers' in-vehicle time and waiting time [43]. There are a total of nine roads that could be implemented with an EBL.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Line**} & \multicolumn{3}{c}{**IVT (min/km)**} \\ \cline{2-4}  & **E** & **SD** \\ \hline
330 N & 1.96 & 1.27 \\
300 W & 1.92 & 1.25 \\
300 KN & 0.88 & 0.92 \\ Average & 1.59 & 1.15 \\ \hline \hline \end{tabular}
\end{table}
Table 6: Result of travel time fluctuation.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Line**} & \multicolumn{3}{c}{**IVT (min/km)**} & \multicolumn{3}{c}{**WT (min)**} \\ \cline{2-5}  & **E** & **SD** & **E** & **SD** \\ \hline
902 & 3.7 & 3.3 & 2.4 & 5.7 \\
320 & 3.7 & 2.4 & 5.1 & 5.6 \\
333 & 3.7 & 2.4 & 3.6 & 5.6 \\
362 & 2.9 & 2 & 3.6 & 5.6 \\
509 & 3.3 & 2.2 & 5.1 & 6.8 \\
521 & 3.7 & 2.7 & 4.1 & 6.4 \\
570 & 3 & 1.9 & 5.1 & 6.8 \\
963 & 3.8 & 2.6 & 2.4 & 5.7 \\
636 & 3.2 & 2.2 & 4.4 & 6.2 \\
85 & 3 & 1.9 & 5.1 & 6.8 \\
82 & 3.2 & 2.2 & 5.1 & 6.8 \\ Average & 3.38 & 2.35 & 4.18 & 6.18 \\ \hline \hline \end{tabular}
\end{table}
Table 7: Result of expectation and standard deviation.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multicolumn{2}{c}{**Line**} & **Gaussian** & **Weibull** & **Laplace** & **Lognormal** & **Parameters of Best Fit** \\ \hline
300 N & R-square & 0.900 & 0.882 & 0.909 & 0.973 & a = 0.799 \\  & RMSE & 0.055 & 0.060 & 0.052 & 0.028 & b = 0.356 \\
300 W & R-square & 0.898 & 0.873 & 0.903 & 0.967 & a = 0.728 \\  & RMSE & 0.053 & 0.059 & 0.051 & 0.030 & b = 0.385 \\
300 KN & R-square & 0.958 & 0.897 & 0.936 & 0.953 & a = 0.915 b = 1.877 \\  & RMSE & 0.050 & 0.078 & 0.061 & 0.052 & c = 0.506 \\ \hline \hline \end{tabular}
\end{table}
Table 5: Fitting result.  
If any of them are implemented with an EBL, corresponding travel time and reliability parameters will be changed. As is shown in Table 8, for the optimized EBL location scheme, the following roads are suggested to implement an EBL: Shangdixi, Xierqi, Xinxi, and Malianwabei. According to the calculation results in Figure 8, total reliability cost \(CR_{n}\) under the background of an EBL is 14,785.2 yuan, which is 5.5% lower than the actual value of 15,650.8 yuan. This means that when an EBL is implemented, all passengers can save 5.5% of time cost due to various uncertain influencing factors. It is indicated that a reasonable EBL location scheme will significantly improve reliability and reduce the passengers' extra time cost caused by various unreliable factors.  
In addition, comparing with other similar research, the results of this paper are more suitable for the commercial area. Although these areas are small, bus passengers often have  
Figure 8: Result for the optimized EBL scheme. (**a**) Optimized EBL scheme; (**b**) Optimized \(CR_{network}\) result.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Road Name** & **Xierqi** & **Houchang Cun** & **Dongbeiwangzhong** & **Shanghaiqi** & **Dongbeiwangxi** \\ \hline \(\varphi\) & 1 & 0 & 0 & 0 & 0 \\ Road name & Malianwabei & Xinxi & Shangdişan & Shangdixi & \\ \(\varphi\) & 1 & 1 & 0 & 1 & \\ \hline \hline \end{tabular}
\end{table}
Table 8: Optimized EBL scheme.  
extremely high requirements for travel time reliability. At the same time, these areas often experience severe traffic congestion during peak hours. Therefore, implementing an EBL will have a better optimization result.