About this asset

Road Lines 009 is a 2K PBR decal set featuring worn white traffic markings, designed for realistic road surface detailing in rendering. This PBR decal set includes three distinct white road line variations, each showing subtle wear and weathered edges consistent with aged pavement markings. The collection provides high-fidelity textures including albedo, displacement, normal, roughness, and opacity maps at 2K resolution. The opacity map is supplied as a separate channel, ensuring that the markings can be layered directly over existing asphalt or concrete materials without disrupting the underlying surface. These procedural assets are engineered to avoid repetitive tiling patterns, offering a clean, authentic aesthetic for exterior site visualisations and infrastructure projects.

The download is a 3.7 MB compressed archive with the texture set at 2K with colour, normal, roughness, displacement and opacity maps, ready for any metal/roughness PBR workflow in Blender, 3ds Max, SketchUp, Unreal Engine or D5.

To implement these decals, apply the opacity map to the transparency channel of your shader to isolate the white lines from the background. Use the displacement and normal maps to impart realistic depth and surface texture to the paint, helping it blend naturally with the underlying road plane. These maps are compatible with standard PBR workflows, allowing for precise control over reflectivity and surface scattering in major rendering engines and viewport previews.

These road line decals are essential for exterior site planning, urban design projects, and infrastructure visualisation. They are ideal for adding realism to car parks, highways, and streetscapes, pairing effectively with asphalt or concrete ground materials. Professionals use these assets to define circulation paths, parking bays, and traffic flow in masterplan renders or detailed civil engineering presentations. The worn aesthetic provides a lived-in feel, making them suitable for both new build projects and existing site condition studies where visual accuracy is prioritised.