Pavement　macrotexture　is　a　major　factor　that　influences　surface　functions.　This　work　characterizes　the　fractal　and　multifractal　properties　of　asphalt　pavement　macrotexture　using　three-dimensional　(3D)　measurements.　A　handheld　3D　laser　scanner　is　introduced　to　scan　pavement　macrotexture　in　situ.　It　is　verified　that　the　3D　scanning　method　has　good　repeatability.　Field　tests　are　conducted　at　37　highway　and　urban　road　sections,　which　include　six　types　of　asphalt　pavement　surfaces,　dense　asphalt　concrete　(DAC),　stone　matrix　asphalt　(SMA),　rubber　asphalt　concrete　(RAC),　ultrathin　wearing　course　(UTWC),　microsurfacing　(MS),　and　open　graded　friction　course　(OGFC).　Three　indicators　are　selected　to　capture　the　fractal　and　multifractal　properties　of　pavement　macrotexture:　(1)fractal　dimension　(D);　(2)the　differences　between　the　two　endpoints　of　multifractal　spectrum　in　horizontal;　and　(3)vertical　directions　[　and　f()].　These　indicators　can　quantify　the　general　irregularity,　the　steepness　difference　between　the　flattest　parts　and　the　steepest　parts,　and　the　difference　in　total　area　between　the　flattest　parts　and　the　steepest　parts　of　pavement　macrotexture,　respectively.　The　correlation　coefficients　between　D,　,　f()　and　the　mean　texture　depth　(MTD)　are　0.8423,　0.7620,　and　0.8732,　respectively.　The　correlation　coefficient　between　f()　and　friction　coefficient　at　the　speed　of　60km/h　(DFT60)　is　0.6996.　It　is　0.6639　when　relating　D　and　DFT60.　However,　when　relating　MTD　to　DFT60,　it　is　only　0.4483.　It　is　shown　that　f()　and　D　derived　from　3D　measurement　have　some　advantages　over　MTD　in　skid　resistance　evaluation.　The　fractal　and　multifractal　indicators　enriched　the　options　for　macrotexture　evaluation.　(C)　2014　American　Society　of　Civil　Engineers.