Optimization of Optimal Pre Maintenance Timing Decision for Asphalt Pavement Based on Matter Element Analysis and Combination Weighting

With the increasing number of highways in China, the demand for highway maintenance is rising. Selecting the right timing for maintenance is crucial. This study uses matter element analysis to determine the best preventive maintenance opportunity for asphalt pavement. Factors such as maintenance costs, benefits, energy consumption, and carbon emissions are considered. The entropy weight method and Analytic Hierarchy Process are used to assign weights to these indicators, improving the rationality and reliability of the decision-making process. An actual maintenance case in Gansu Province is analyzed and verified. The research results indicate that the traditional method with the lowest cost suggests 2021 as the best maintenance time. However, the matter element Decision model shows that pavement maintenance starting from 2020 achieves the maximum comprehensive benefit across all indicators. This multi-indicator model provides a comprehensive and reasonable approach for decision-making in asphalt pavement maintenance timing, optimizing the management level of pavement maintenance.