Understanding the pavement texture evolution of RIOH Track using multi-scale and spatiotemporal analysis

To better understand the evolution of pavement texture on different scales, the self-affine characteristics and spatiotemporal variation of pavement texture were respectively analyzed via the long-term observation data from the field RIOH track. Interestingly, the texture roughness of the same pavement exhibits some small-scale similarity and large-scale variability. This variability is also reflected in the spatial variation results (less than 20%) of on-site texture depth. Moreover, the pavement texture depth presents an upward trend with a long-term service environment (traffic polishing/seasonal variation). Particularly with the participation of traffic polishing, the typical texture evolution of the enlarged particle gap and smooth particle surface was also observed.

Automated summary

To understand the evolution of pavement texture, the self-affine characteristics and spatiotemporal variation of pavement texture were analyzed using long-term field observation data. The texture roughness of the same pavement shows similarity at a small scale but variability at a large scale. This variability is also reflected in the spatial variation of on-site texture depth. Additionally, the pavement texture depth increases over time, especially with traffic polishing, which leads to enlarged particle gaps and smoother particle surfaces.