The application of pavement texture depth in pavement maintenance at network level

In evaluating pavement surface safety characteristics, especially for expressways, pavement texture depth is an important factor. This paper correlates high-volume texture-depth data with the Sideway-Force Coefficient (SFC) to support pavement maintenance decisions. High-volume texture-depth data demonstrate the distribution pattern of texture depth. Through applying the time–space conversion method, the texture-depth deterioration is modeled over road service time, and a texture-depth prediction model is established. Based on the correlation with Sideway-Force Coefficient (SFC) data, the texture-depth criteria for pavement safety are utilized to support decision making in the expressway network maintenance plan.