# A Multi-Objective Evaluation Method for Smart Highway Operation and Management
## 6 Conclusions  
This study is motivated by the operational management demands of smart highways and centers on the pivotal aspect of the evaluation system. By analyzing the practical requirements and policy background of smart highway development, the paper categorizes evaluation objects and assigns weights. Expanding on this groundwork, the paper depends on monitoring and gathering data on the usability and service quality of smart highways. Furthermore, by considering the requirements for causal analysis and decision-making throughout the entire lifecycle maintenance, the study develops a comprehensive evaluation system framework and content. The evaluation system comprehensively assesses smart highways across three dimensions: \"Facility Structure\", \"Electromechanical Facilities\", and \"Operation Services\". Each of these dimensions is then broken down into multiple data layer indicators, facilitating a quantitative analysis and scoring of facility conditions and service levels. Through analysing the distribution of assessment scores for each indicator within the smart highway, the system offers an accurate portrayal of the current state of smart highway implementation, pinpointing areas in need of enhancement and offering guidance for future developmental paths. This study contributes to related fields by providing the following aspects:  
* The evaluation system in this research offers comprehensive indicator content with precise definitions. It encompasses detailed guidelines for assessing indicators, addressing the current status and future trend objectives of smart highway development. This ensures the applicability of the evaluation system for assessing smart highways in diverse regions with varying development directions. * Introducing a novel model method that combines subjective and objective weighting, breaking away from the conventional practice where researchers tend to rely solely on either subjective or objective evaluation methods. This innovative approach holds promise in offering valuable insights for the advancement of future evaluation systems. * Comprehensive consideration of facilities and operational processes. This evaluation system not only considers the health of civil and electromechanical facilities but also categorizes facility types explicitly. Additionally, it considers traffic and maintenance aspects during highway operation, collecting data on user experiences. The entire evaluation system, from assessing facility performance to the impact on traffic services,  
\begin{table}
\begin{tabular}{l l l l l l} \hline \hline
**Indicator Level** & \multicolumn{2}{l}{**Combined Weight Values**} & & & \\ \hline  & C1(1) & C2(1) & C3(1) & C4(0.50) & C5(0.50) & C6(1) \\  & C7(1) & C8(1) & C9(1) & C10(0.82) & C11(0.18) & C12(0.81) \\  & C13(0.19)  
provides a benchmark for the development of final maintenance and management plans, creating a virtuous cycle for smart highways throughout their entire lifecycle. * Guidance for designing regional standards. The findings and insights from this study's evaluation system can assist decision-makers in designing regional standards for smart highway construction. It offers theoretical and practical guidance for the effective evaluation of smart highway construction. * Cross-domain applicability. After adjusting indicators and recalculating weights, the evaluation system can be extended to various domains, including smart roads, intelligent water transport, and digital transportation. This expansion enhances the system's scope. Building upon this foundation, the smart highway evaluation system should be carefully implemented, aligning evaluation results with maintenance and management strategies. Following the current evaluation system, future research could concentrate on predicting performance and evolutionary patterns within smart highways.