Assessment of pavement distresses is one of the important parts of pavement management systems to adopt the most effective road maintenance strategy. In the last decade, extensive studies have been done to develop automated systems for pavement distress processing based on machine vision techniques. One of the most important structural components of computer vision is the feature extraction met...

Conventional distress detection method which dealing with each image through single algorithm and under single scale with lower efficiency. A robust and high-efficiency model for segmentation and distress statistic of massive pavement images which based on multi-scale space is proposed in this paper. It based on the facts that: (1) the crack pixels in pavement images are darker than their surro...

Pavement condition assessment is essential when developing road network maintenance programs. In practice, the data collection process is to a large extent automated. However, pavement distress detection (cracks, potholes, etc.) is mostly performed manually, which is labor-intensive and time-consuming. Existing methods either rely on complete 3D surface reconstruction, which comes along with hi...

The optimization of a pavement management system necessitates the knowledge on the actual values of pavement condition parameters, actual pavement condition improvement as related to the use of various rehabilitation strategies, and scope of pavement deterioration before and after rehabilitation. The data for six pavement condition parameters (bearing capacity, unevenness, rut depth, macro text...

Roadway pavement surface distress information is critical for effective pavement asset management, and subsequently, transportation management agencies at all levels (i.e., federal, state, and local) dedicate a large amount of time and money to routinely evaluate pavement surface distress conditions as the core of their asset management programs. However, currently adopted ground-based evaluati...

Road pavement maintenance today relies mainly on manual pavement condition inspection and distress rating; however, this manual method is costly, labour-intensive, time-consuming, and dangerous to inspectors and may affect traffic flows. Moreover, such method is very subjective and may have a high degree of variability, being unable to provide meaningful information. Additionally, since using t...

A fundamental component of computer-based video image analysis for pavement distress evaluation is identification of the type of distress from geometric and textural properties of an area of interest identified during image analysis. This study describes the algorithms used to identi_fy and classify the most common pavement distress types once a possible distress region is identified on an imag...

This paper presents a fuzzy-based system that is used for maintenance planning of road pavements. The system has been developed based on knowledge elicitation from experienced maintenance engineers using fuzzy logic. The system includes functions for pavement condition and deterioration prediction, feasible treatment assessment in each pavement section, and maintenance planning in a road networ...

Many agencies use the AASHTO Guide for Design of Pavement Structures to design their pavement systems. The limitation inherent in this method is the empirical nature of the decision process, which was derived from a road test conducted almost 45 years ago in Ottawa, Illinois. The newly released Mechanistic-Empirical Pavement Design Guide (MEPDG), based on NCHRP Study 1-37A, has adopted a mechan...

The depiction of the irregularity in nature is crucial for the realistic representation of the virtual world. For example, real pavement blocks are not always paved evenly, but partially sink over time. Many games or virtual reality systems however represent the pavement too neatly with perfectly flattened surfaces and clean texture images. In this paper, we suggest a method for representing re...