Development and Validation of a Method to Evaluate Unpaved Road Condition with Objective Distress Measures

Chamorro, Alondra; Solminihac, Hernan E de; Salgado, Mauricio; Barrera, Ernesto

doi:10.3141/2101-01

Cited by 13 publications

(14 citation statements)

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“…A first study developed the PCI for managing paved networks, including concrete pavements, asphalt concrete pavements, and double treatment surfaces (DTS), as well as paved shoulders (23,24). A second study developed the unpaved road condition index (UPCI) for managing unpaved networks, considering only earth and gravel roads (25)(26)(27). A third study, which is currently under development with the support of other public institutions, developed the urban pavement condition index for managing urban pavements, including concrete and asphalt pavements (28).…”

Section: Problem Definitionmentioning

confidence: 99%

“…Distresses and the evaluation method considered for stabilized roads (Table 1) were preliminarily defined from the MOP protocol for assessing gravel roads (32). However, the distresses observed in stabilized roads partially coincided with those observed in gravel roads (26). For that reason, raveling was included in the evaluation as a relevant distress, measured as the percentage of affected surface.…”

Section: Independent Variables: Distresses Evaluated In the Fieldmentioning

confidence: 99%

“…The condition of unpaved roads corresponds to Equations 3 and 4 (26). The difference between them is that Equation 3 considers only manual collection of the data, while Equation 4 considers the use of data of roughness (IRI) collected with automated equipment:…”

Section: Unpaved Roads Condition Indicator Validation For Stabilized Roadsmentioning

confidence: 99%

“…The dependent variable is the average observed condition of the sample section given by the panel of experts (subjective evaluation). The decision to use the 70% corresponds to the method used in the previous research that served as a base for this study (22,24,(26)(27)(28).…”

Section: Regression Analysismentioning

confidence: 99%

“…With the same approach used by Chamorro et al (26), two different forms of indicators for the stabilized road condition index (SRCI) were calibrated, one considering roughness data collected with responsetype equipment (Equation 5) (33) and another without considering roughness as a distress (Equation 6).…”

Section: Final Equationsmentioning

confidence: 99%

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Development of Condition Indicator for Managing Sealed Rural Road Networks

Rivera

Chamorro

Lucero³

et al. 2015

Transportation Research Record

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Rural roads may be defined as low-volume roads that provide access and mobility to rural populations. In developing countries they commonly represent 80% of the total road network length and play a key role in economic and social development. Rural roads are divided into unsealed (gravel and earth) and sealed roads (roads with thin bituminous surfaces and stabilized roads). Network management methods recommend the use of objective condition evaluations, such as the pavement condition index and the unpaved roads condition indicator, to assist in decision making. However, none of these indicators properly apply to sealed rural roads; the performance of these roads is different because of climate and traffic demands. The lack of an objective indicator specially calibrated for sealed rural roads was addressed in this study. The main goal was to calibrate a condition indicator for managing sealed rural road networks. As a result of the study, a condition indicator that was preliminarily developed for double treatment surfaces was successfully validated for thin bituminous surfaces. In addition, a stabilized roads condition index (SRCI) was developed on the basis of field evaluations of various surface distresses observed in stabilized roads, which were contrasted with the evaluations of an expert panel. Two forms of the SRCI were calibrated: with and without roughness. Finally, a qualitative scale ranging from very good condition to very poor condition was defined for thin bituminous surfaces and stabilized roads, on the basis of the effect of three types of climates and roads hierarchy.

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Section: Problem Definitionmentioning

confidence: 99%

Section: Independent Variables: Distresses Evaluated In the Fieldmentioning

confidence: 99%

Section: Unpaved Roads Condition Indicator Validation For Stabilized Roadsmentioning

confidence: 99%

Section: Regression Analysismentioning

confidence: 99%

Section: Final Equationsmentioning

confidence: 99%

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