合理的路面评价指标体系是路面科学养护管理的关键之一。日趋精细化的养护决策要求评价指标针对性明确、指标构成能全面描述路况；同时高等级沥青路面的损坏形式逐渐趋于单一、不同损坏的发展速率却差异显著；当前普及的路面数据自动采集也使损坏数据内容丰富、专业性增强。也即无论是从应用、研究还是技术实现的角度，对沥青路面评价指标的要求都趋于单一化、独立化和完整化。而我国现行的评价体系脱胎于传统的人工目测调查方法，以综合性指标为主、指标内涵重叠，已无法适应这一需求。因此本课题拟建立自动数据采集环境下的沥青路面评价指标体系。首先完善数据采集平台，实现路面破损和三维变形检测；然后基于此框架提出指标内涵单一且互相独立的评价指标体系，彻底分离破损与变形，并在指标中关联损坏形态和位置信息，以表征病害成因、支持精细化养护决策；最后，在路面实测的基础上进行指标体系的合理性和有效性验证，通过多次反馈形成稳定合理的最终方案。

One of the key factors of the scientific pavement maintenance management is to build a reasonable pavement evaluation index system. The increasingly refined pavement decision-making process requires clear pavement evaluation indicators, which can also describe the pavement conditions comprehensively. At the same time, pavement distress composition tends to be single for high-level asphalt pavements, but the deterioration rates of different distress are significantly different. Besides, pavement distress data information is largely enhanced under currently popular automated inspection environment both in the content and the professional degree. That is, whether it is from the application, research or the technology point of view, the requirements for the asphalt pavement evaluation system have tended to be single, independent and complete. However, the existing asphalt pavement evaluation system in China comes from the traditional method of artificial visual pavement survey and is consequently mainly based on comprehensive index and also with an overlap in index connotation, which has been unable to match the current needs. Therefore, it is proposed in this study to establish a new asphalt evaluation index system to adapt to the automated inspection environment. The first step is to optimize the data collection platform to fulfill the automated pavement damage and three-dimensional deformation detection. Then to build the new pavement evaluation system, which is consisted by mutually independent evaluation indicators with single connotations. And in this new system, pavement damage and deformation description could be completely separated. At the same time, the distress shape and location information could be associated with the evaluation indicators to characterize the causes of distress to support the refined pavement maintenance decision-making. At last, a large amount of pavement survey will be carried out to verify the reasonableness and effectiveness of the new index system. The testing and verification process will be conducted repeatedly according to the feedback to finally establish the stable and reasonable index system.