Tire rolling resistance has a significant influence on fuel consumption in cars and trucks CO2 emissions. Rolling depends the tire construction, pavement texture stiffness, as well environmental traffic conditions. This article presents pilot study impact of passenger car tires. Reasons why Mean Profile Depth is not good descriptor characteristics from point view are presented, an experimental ...

The lack of large-scale, multi-scene, and multi-type pavement distress training data reduces the generalization ability deep learning models in complex scenes, limits development extraction algorithms. Thus, we built first large-scale dichotomous image segmentation (DIS) dataset for segmentation, called ISTD-PDS7, aimed to segment highly accurate types from natural charge-coupled device (CCD) i...

This paper presents some results of a study, which aimed at modelling pavement evolution by different methods. In a first part, a database was constituted with data collected on French roads in the last decades. The database contains skid resistance values (Sideway Force Coefficient measured by SCRIM/Sideway force Coefficient Routine Investigation Machine), macrotexture values (Mean Profile Dep...

Huge quantities of bituminous mix in the form of seal coats and HMAC thin overlays are applied by the TxDOT every year to improve ride quality and seal existing cracks, but these measures do not correct possible underlying weaknesses that will cause roughness or distress to quickly reappear. As a result, the overall pavement condition keeps deteriorating due to the structural deformation of pav...

Reliable and durable asphalt surfacing systems still remain to be desired for the long-spanned orthotropic steel bridges as the nationally and internationally reports on distresses in deck pavement. Based on ten-year research works, this paper has presented a brief review and discussion of the Chinese practices and experiences of deck pavement on long-spanned steel bridges, including issues of ...

In the process of road pavement health and safety assessment, crack detection plays a pivotal role in preventive maintenance strategy. Recently, Convolutional Neural Networks (CNNs) have been applied to automatically identify cracks on concrete pavements. The effectiveness CNN-based measurement method depends several factors, including image segmentation with complex topology, inference noises ...

Automated systems for road crack detection are extremely important in road maintenance for vehicle safety and traveler’s comfort. Emerging cracks in roads need to be detected and accordingly repaired as early as possible to avoid further damage thus reducing rehabilitation cost. In this paper, a robust method for Gabor filter parameters optimization for automatic road crack detection is discuss...

Abstract In ice and snow weather, the surface texture characteristics of asphalt pavement change, which will significantly affect skid resistance performance pavement. this study, five mixture types AC-5, AC-13, AC-16, SMA-13, SMA-16 were prepared under three conditions original state, snow. paper, a 2D-wavelet transform approach is proposed to characterize micro macro The Normalized Energy (NE...