2017
DOI: 10.3390/coatings7050065
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A Specified Procedure for Distress Identification and Assessment for Urban Road Surfaces Based on PCI

Abstract: Abstract:In this paper, a simplified procedure for the assessment of pavement structural integrity and the level of service for urban road surfaces is presented. A sample of 109 Asphalt Concrete (AC) urban pavements of an Italian road network was considered to validate the methodology. As part of this research, the most recurrent defects, those never encountered and those not defined with respect to the list collected in the ASTM D6433 have been determined by statistical analysis. The goal of this research is … Show more

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Cited by 51 publications
(37 citation statements)
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“…where W k,I are the frequency weightings in one-third octave bands for seated position, provided by the standards, and a iz is the vertical RMS acceleration for the i-th one-third octave band. This method ( Figure 3) allowed the evaluation of the vertical accelerations in order to analyze the comfort of car passengers [39,45,46].…”
Section: Methodsmentioning
confidence: 99%
“…where W k,I are the frequency weightings in one-third octave bands for seated position, provided by the standards, and a iz is the vertical RMS acceleration for the i-th one-third octave band. This method ( Figure 3) allowed the evaluation of the vertical accelerations in order to analyze the comfort of car passengers [39,45,46].…”
Section: Methodsmentioning
confidence: 99%
“…The number of cars and mopeds varied accordingly to the traffic spectrum in Table 2. The increase in traffic volume required to adjust the road pavement composition [43] and its related construction and maintenance works in order to achieve the required level of service [44]. The new flexible pavement is composed of 5 cm-thick asphalt wearing course, 8 cm-thick asphalt binder course, 17 cm-thick asphalt base course, and 15 cm-thick granular sub-base.…”
Section: Resultsmentioning
confidence: 99%
“…Of the distress types, the main focus has been crack detection and analysis. This is due to the fact that pavement cracks are seen as the most predominant distress type [45] and they are also easier to measure, with the typical requirements being simply to measure the crack's width and length. There are a tremendous number of studies on developing specific neural networks for crack detection and analysis using both 2D and 3D imagery [41,42,[46][47][48][49][50][51][52] and with comparisons made to results from image-based toolboxes for crack detection and analysis such as CrackIT [53].…”
Section: The Use Of Deep Learning In Pavement Engineeringmentioning
confidence: 99%
“…Within this distribution, the most observed distresses are general cracking followed by viscoplastic deformations and then area cracking, with the least being the miscellaneous category. This is expected given the nature of distresses on most urban Italian road networks [45]. Using these distress types, a label map was generated for the previously identified TensorFlow pipeline.…”
Section: Data Annotationmentioning
confidence: 99%