With the expansion of urban road network, the importance of road maintenance is increasing, which guarantee the operation efficiency of transportation infrastructure. Compare to road construction, road maintenance is more sophisticated. Even though invested a lot of manpower and financial resources, management departments are troubled by insufficient and lagging road maintenance. The development and widely application of technologies including IoT, Big Data and Artificial Intelligence(AI) in various industries offer possible solutions to this issue. However, how to utilize these technologies is a challenge for related administration department because of their weak technical force. To address the problem, a pavement management system(PMC) is developed in this research. Combined with IoT and big data, the PMS provide an overall management structure of road maintenance. Composed of three subsections: Pavement detection and 3D modeling, Data analysis and Decision support, the PMS offer an automated and intelligent solution to related administrative departments and firms. Besides, two road maintenance related firms, one is a road maintenance company and the other is a technical firm that offer smart solutions to road maintenance, are selected as cases to illustrate how PMS are applied to support the daily operations and road maintenance.

随着城市道路网的扩展，道路养护的重要性日益提高，保证了交通基础设施的运行效率。与道路建设相比，道路养护更加复杂。尽管投入了大量的人力和财力，但管理部门仍然受到道路维护不足和滞后的困扰。IoT，大数据和人工智能（AI）等技术在各个行业的发展和广泛应用为该问题提供了可能的解决方案。但是，由于技术力量薄弱，如何利用这些技术是相关行政部门面临的挑战。为了解决这个问题，本研究开发了一种路面管理系统（PMC）。结合物联网和大数据，PMS提供道路维护的整体管理结构。PMS由以下三个部分组成：路面检测和3D建模，数据分析和决策支持，PMS为相关的行政部门和公司提供了自动化和智能的解决方案。此外，还选择了两家与道路养护相关的公司，一个是道路养护公司，另一个是为道路养护提供智能解决方案的技术公司，以说明如何使用PMS支持日常运营和道路养护。