This　paper　presents　a　method　to　characterize　asphalt　pavement　macrotexture　using　the　gray-tone　difference　matrix　(GTDM)　and　discusses　the　potentials　of　the　GTDM　indicators　for　skid　resistance　evaluation.　There　are　37　field　sites　included　in　the　data　collection,　which　cover　6　types　of　asphalt　pavement　surfaces.　The　mean　profile　depth　derived　from　3-D　macrotexture　measurements　(MPD3)　has　a　significant　relationship　with　the　mean　texture　depth　(MTD),　which　can　be　described　by　a　logarithm　model　with　R2　of　0.962.　There　is　no　significant　linear　relationship　between　the　friction　coefficient　at　a　speed　of　60　km/h　(DFT60)　and　macrotexture　indicators.　A　nonlinear　model　with　British　pendulum　number　(BPN)　incorporated　can　relate　DFT60　to　MTD　or　indicator　fcon.　A　comparison　with　MTD　shows　that　GTDM-based　fcon　has　a　potential　to　be　a　macrotexture　indicator　for　skid　resistance　evaluation,　which　describes　the　general　height　difference　and　the　average　local　height　difference　of　pavement　macrotexture.　A　relatively　high　fcon　is　helpful　for　improving　asphalt　pavement　skid　resistance.　©,　2015,　Southeast　University.　All　right　reserved.