This paper explores the feasibility of applying support vector regression (SVR) kernel-based supervised learning method to develop hot mix asphalt (HMA) dynamic modulus (|E*|) predictive models. SVR-based prediction models were developed using the latest comprehensive |E*| database that is available to the researchers. The SVR model predictions were compared with the existing regression-based p...

Forecast systems provide decision support for end-users ranging from the solar energy industry to municipalities concerned with road safety. Pavement temperature is an important variable when considering vehicle response to various weather conditions. A complex, yet direct relationship exists between tire and pavement temperatures. Literature has shown that as tire temperature increases, fricti...

abstract the decisions and personal preferences of the designer are vital for all aspects and stages of the design. to elaborate, the designer has the central role in creation, development, detailing and construction of the built forms. also, the scientific/engineering evaluations of the design models are carried out under the directions and decisions of the designer. the paper explores the con...

Pavement crack is the main form of early diseases of pavement. The use of digital photography to record pavement images and subsequent crack detection and classification has undergone continuous improvements over the past decade. Digital image processing has been applied to detect the pavement crack for its advantages of large amount of information and auto detection. The application of digital...

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...