In　order　to　make　accurate　and　scientific　performance　evaluation　and　maintenance　decision　of　asphalt　pavement,　the　pavement　condition　index　(PCI)　detection　data　of　asphalt　pavement　of　Beijing　expressways　in　different　years　was　investigated　and　analyzed　in　this　paper.　The　PCI　decay　trend　was　studied　and　an　exponential　type　prediction　model　of　PCI　under　different　maintenance　mode　was　summarized.　Result　shows　that　the　maintenance　type　and　intensity　is　different　at　different　ages　of　expressways.　PCI　of　expressways　may　decrease　in　a　low　intensity　manner　or　in　a　wave　shaped　high　intensity　manner　under　different　maintenance　modes.　When　the　age　of　expressway　approaches　its　severing　life　the　PCI　shows　a　sharp　decay　trend.　In　Beijing　area,　the　value　of　pavement　factor　＂a＂　is　between　0.008~0.035.　Prediction　result　of　PCI　presented　in　this　paper　is　more　accurate　and　accords　with　the　asphalt　pavement　PCI　decay　trend　of　expressways　and　maintenance　manner.　The　result　of　this　paper　provides　a　theoretical　support　for　the　accurate　prediction　of　PCI　and　maintenance　decision　of　expressway　pavement.　©　2016,　Beijing　University　of　Technology.　All　right　reserved.