# Real-Time Security Health and Privacy Monitoring for Saudi Highways Using Cutting-Edge Technologies
## 4 Results and Evaluation
### Proposed Passenger Safety Mechanism
\begin{table}
\begin{tabular}{l c c c c} \hline \hline
**Parameters** & **Weightage** & **Weight Value** & **Weight Description** \\ \hline \multirow{4}{*}{Early reporting} & \multirow{4}{*}{Yes} & \multirow{4}{*}{1} & \multicolumn{3}{c}{The image processing scheme} \\  & & & & will analyze the image captured \\  & & & & through security camera \\  & & & & installed in victim’s vehicle and \\  & & & & will send alarm to TAs \\  & & & & TA will inform medical team \\  & & & & after receiving the alarm of \\  & & & & the incident \\  & & & & TA will inform the legal help \\  & & & & after receiving the alarm of \\  & & & & the incident \\ Post-incident & & & & The security camera will capture \\ evidence & & & & the incident \\ Life-saving & Yes & 1 & & Life-saving is possible due to \\  & & & & timely help \\  & & & & The overall efficiency of the \\ Efficiency & Yes & 1 & & system is good due to early \\  & & & & incident monitoring \\ Weighted Sum & 6 & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Weighted sum of evaluation parameters in Case 1 of the proposed model. \begin{table}
\begin{tabular}{l c c c} \hline \hline
**Parameters** & **Weightage** & **Weight Value** & **Weight Description** \\ \hline \multirow{4}{*}{Early reporting} & \multirow{4}{*}{Yes} & \multirow{4}{*}{1} & \multicolumn{3}{c}{A security camera installed in} \\  & & & & the nearby vehicles will \\  & & & & capture the accident image, \\  & & & & TAs will be informed through \\  & & & & the system \\  & & & & TA will inform the medical \\ Early medical help & Yes & 1 & & help after receiving the alarm \\  & & & & of the incident \\  & & & & TA will inform the legal help \\ Early legal help & Yes & 1 & & after receiving the alarm of \\  & & & & the incident \\ Post-incident & & & & vehicles on the road will \\ evidence & & & & capture the incident \\  & & & & Life-saving is possible due to \\ Life-saving & Yes & 1 & & timely help \\  & & & & The overall efficiency of the \\ Efficiency & Yes & 1 & & system is good due to early \\  & & & & incident monitoring \\ Weighted Sum & 6 & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Weighted sum of evaluation parameters in Case 2 of proposed model. Case 3: Vehicle is badly crashed, and IoT-enabled front-back cameras stop working and there is no other vehicle on the road. This is the worst scenario occurring on the road when the vehicle crashes along with security cameras and there is no helping body nearby as shown in Figure 5c. The proposed model also assists in this scenario; the image-processing scheme monitoring vehicles' data will notice that incoming data from a particular vehicle has ceased, signaling that the vehicle is likely in trouble and will generate alarm. In such a circumstance, TAs will locate the victim vehicle's last fetched data position and notify local authorities to approach that vehicle for assistance. Although the likelihood of timely assistance in this event is lower than in the other two scenarios, the victim will still receive assistance. The delay in this scenario might be attributable to two factors: first, the time it takes for the image-processing scheme to discover the absence of data, and second, the distance between supporting authorities and the victim. The overall performance of the system, in this case, will be evaluated based on the six parameter values as shown in Table 8.  
Substituting the weight values of Table 8 in Equation (2), we get the probability of success as shown in Equation (7):  
\[Prob(S)=\frac{1}{6}(0.5+0+0.5+0+0+0.5)=\frac{1.5}{6}=0.25 \tag{7}\]