Pavement systems are essential elements of transportation infrastructure. However, the ever-increasing road travel demand has significantly accelerated the aging of road infrastructure. The deteriorated pavements incur high maintenance cost, increased vehicle operating cost, and extra fuel consumption and greenhouse gas (GHG) emissions, which significantly affect the sustainability of road pavements. The limited financial and natural resources available to manage the expanding road network have posed significant challenges to transport agencies in effectively managing their pavement networks. Our current research mainly focuses on developing an intelligent and sustainable pavement management framework for highway asphalt pavement networks, that are featured with providing lane-specific maintenance strategies for large-scale pavement networks, considering uncertainty to achieve managerial flexibility, incorporating decision makers' attitudes toward risk and opportunity into maintenance optimization, and integrating the functional dependence of road segments into long-term pavement maintenance planning.