The AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) pavement performance models and the associated AASHTOWare® Pavement ME Design software are nationally calibrated using design inputs and distress data largely from the national Long-Term Pavement Performance (LTPP). Further calibration and validation studies are necessary for local highway agencies’ implementation by taking into acc...

It is well known that road safety issues are closely dependent on both pavement structural damages and surface unevenness, whose occurrence is often related to ineffective pavement asset management. The evaluation of road pavement operability is traditionally carried out through distress identification manuals on the basis of standardized comprehensive indexes, as a result of visual inspections...

This paper describes a 3-D automated pavement distress data collection and analysis system based on NRC’s Biris sensor technology. The paper introduces the problem to be solved, the selected design criteria, and the adopted solution to monitor the quality of road surfaces. The system geometry for the acquisition of the threedimensional coordinates of pavement surface distresses is presented. Mu...

Pavement condition assessment is an indispensable constituent in maintaining roadway infrastructure. Current practices for pavement condition assessment are labor intensive which introduce subjectivity in pavement rating and are time consuming. Automated methods rely on full 3D reconstruction of the pavement surface which introduces high equipment and computation costs. This paper presents a me...

15. Supplementary Notes Project performed in cooperation with the Texas Department of Transportation and the Federal Highway Administration. Project Title: Implementation of Automated Pavement Distress Rating Systems 16. Abstract This paper presents the image-processing algorithm customized for high-speed, real-time inspection of pavement cracking. In the algorithm, a pavement image is divided ...

Longitudinally tined (LT) concrete pavement surfaces were shown to produce less noise than transversely tined (TT) ones, making them more desirable where traffic noise may be an issue, if the two textures are shown to have equivalent safety performance. The present effort focused on rural freeway crashes between 1991 and 1998. This guaranteed the presence of high speeds and absence of various f...

Artificial Intelligence (AI) has fascinated the present study assigned to multiple areas such as distress detection on pavement, pothole detection, and healthcare. The pavement roads delivering healthcare medical services need be monitored through state-of-the-art technology, i.e., drone technology. Improvement in construction sites delivery are of serious concern. Nowadays, computer vision tec...

• Road-pavement surface monitoring, distresses classification and measurement. Comparison of crowdsensing-based monitoring technologies visual inspections. Efficiency effectiveness road-pavement surveys for optimal maintenance. Pavement-surface characteristics should be considered during road maintenance safe comfortable driving. A detailed up-to-date report network conditions is required to op...