Rough Set Theory (RST) is an induction based decision-making technique, which can extract useful information from attribute-value (decision) table. This study introduces RST into pavement management system (PMS) for maintenance and rehabilitation (M&R) strategy induction. An empirical study is conducted by using the pavement distress data collected from 7 county roads by experienced pavement en...

Pavement crack detection plays an important role in pavement maintaining and management. The threedimensional (3D) pavement crack detection technique based on laser is a recent trend due to its ability of discriminating dark areas, which are not caused by pavement distress such as tire marks, oil spills and shadows. In the field of 3D pavement crack detection, the most important thing is the ac...

Rubblization is one of the surface preparation techniques before placing a Hot Mix Asphalt (HMA) overlay that involves breaking the Portland Cement Concrete (PCC) pavement into pieces. This paper describes the structural assessment related to the long term performance of rubblized concrete pavements in Iowa. The structural performance of seven representative in-service rubblized concrete paveme...

this paper identifies eleven types of asphalt pavement distress types, commonly occuring in tehran metropolitan area. of these, five distresses namely: corrugation; utility cut depression ;pot holes; alligator cracking; and loss of bridge deck surfacing are rather common. however, others namely: shear failure; shrinkage cracks; lane joint cracks; bleeding; and shoulder distress are less prevail...

With the advancement of 3D line laser imaging technology (“3D technology”, hereafter for the sake of brevity), high-resolution 3D transverse profile data (“3D data”, hereafter for the sake of brevity), has gained widespread interest from researchers, industry and highway agencies and has been used for collecting pavement surface distresses. However, the study of data characteristics, e.g. data ...

ABSTRACT: In this paper we present moment invariant and neural network to classify airport pavement distress images. The moment invariant has been extracting images feature that published two-dimensional pattern recognition application method in 1962. The image pattern can be reduced to number of values such that they are description of the translation, scale, and rotation of an object in the i...

This report is the result of a research project on a pavement management system that was preformed by the Transportation Division of Iran University of Science and Technology. Information used in the project was collected from 20 zones of the Tehran Municipality. Any maintenance and repair system for roads is normally compared of a number of general and coordinated activities in conjunction wit...

The surface layer of road pavement has a particular importance in relation to the satisfaction of the primary demands of locomotion, such as security and eco-compatibility. In order to reduce road maintenance and rehabilitation costs and optimize the service condition of road networks, pavement management systems (PMS) need reliable and detailed data on the status of the highway network. Laser ...

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...