Study on Asphalt Pavement Surface Texture Degradation Using 3-D Image Processing Techniques and Entropy Theory

Abstract

Surface texture is a very important factor affecting the anti-skid performance ofpavements. In this paper, entropy theory is introduced to study the decay behavior of thethree-dimensional macrotexture and microtexture of road surfaces in service based on the field testdata collected over more than 2 years. Entropy is found to be feasible for evaluating thethree-dimensional macrotexture and microtexture of an asphalt pavement surface. The complexityof the texture increases with the increase of entropy. Under the polishing action of the vehicle load,the entropy of the surface texture decreases gradually. The three-dimensional macrotexture decaycharacteristics of asphalt pavement surfaces are significantly different for different mixturedesigns. The macrotexture decay performance of asphalt pavement can be improved by designingappropriate mixtures. Compared with the traditional macrotexture parameter Mean Texture Depth(MTD) index, entropy contains more physical information and has a better correlation with thepavement anti-skid performance index. It has significant advantages in describing the relationshipbetween macrotexture characteristics and the anti-skid performance of asphalt pavement.

Entropy in Image Analysis

“…Miao et al propose, in [ 14 ], a method for evaluating the anti-skid performance of asphalt pavement surfaces. Three-dimensional macro- and micro-textures of asphalt surfaces are detected.…”

Study of Pavement Macro- and Micro-Texture Evolution Law during Compaction Using 3D Laser Scanning Technology

“…Some researchers have applied the Hilbert-Huang transform to investigate the correlation between pavement texture and friction [20]. In addition, pavement texture has been characterized using diverse approaches, including fractal analysis [21], entropy theory [22], power spectral analysis [23], and wavelet analysis [24]. Moreover, the availability of highdensity point cloud data, obtained through high-resolution measurements, has made it possible to apply deep learning methods to pavement analysis.…”

Evaluation of the Functional Performance of Paving Materials Based on the Driving Wheel Pavement Analyzer

“…The functional performance of pavement refers to the performance not related to the road structure, such as the anti-sliding, anti-stripping, noise reduction, and water permeability performance provided by the functional layer of the pavement surface. Although there are methodologies used to evaluate the functional performance of pavements [9][10][11], such as the sideways force coefficient routine investigation machine (SCRIM) test, the grip tester, and on-board sound intensity (OBSI). These methods are used on the constructed pavement surface.…”