Automated Pavement Condition Surveys (2019) / Chapter Skim
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5 This chapter presents the findings of the literature review relevant to automated pavement condition surveys. Automated collection of pavement condition has been conducted in the United States for almost 40 years.
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Figure 1. IRI (Sayers and Karamihas 1998)
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Literature Review 7 of identification manuals have been developed and include, but are not limited to the following: – Distress Identification Manual for the Long-Term Pavement Performance Program (Miller and Bellinger 2014)
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8 Automated Pavement Condition Surveys surveys (18 agencies) , shoulder surveys (nine agencies)
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Literature Review 9 profilometer. All agencies reported collecting rut depth and faulting as part of the distress survey, and 23% of the agencies (10 of 44)
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10 Automated Pavement Condition Surveys Specification Description Pr ofi le E qu ip m en t AASHTO M 328 (2018a) Hardware and software requirements for low- and high-speed inertial profilers.
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Literature Review 11 Canadian provincial, and local agencies have developed guidelines or use one of the following methods for conducting manual condition surveys: • ASTM D6433 (2018c) , Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys.
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12 Automated Pavement Condition Surveys a. Area-scan technology b.
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Literature Review 13 and Wang et al.
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14 Automated Pavement Condition Surveys For sensor data, upward of several gigabytes of transverse and longitudinal profile data can be collected within just a few kilometers, which is also stored on hard drives in the DCV. The collected images and sensor data must be synchronized with date, time, and location reference information.
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Literature Review 15 data collection data in lieu of manual survey methods. Data were collected using manual and automated methods, and then the data were compared.
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16 Automated Pavement Condition Surveys concluded that the DOT algorithms needed additional refinement to improve the accuracy of crack identification. In 2015, Serigos et al.
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Literature Review 17 • Supporting asset management; • Providing national reporting requirements; • Calibrating performance prediction models in the AASHTOWare Pavement ME Design™ software; • Identifying potential locations of vehicular crashes using friction data (de León Izeppi et al.
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18 Automated Pavement Condition Surveys For asphalt pavements, the performance metrics are based on IRI, cracking, and rutting; for JPCP, they include IRI, cracking, and faulting; and for continuously reinforced concrete pavement (CRCP) , they include IRI and cracking (Table 5)
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Literature Review 19 approach" (Federal Register 2017)
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20 Automated Pavement Condition Surveys Agencies are required to ensure and report the quality of all data collected in support of the pavement performance measures summarized in Table 5 regardless of the data collection method. Highway Performance Monitoring System HPMS, originally developed in 1978 as the National Highway Transportation System database, provides data on the extent, condition, performance, use, and operating characteristics of U.S.
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Literature Review 21 IRI All NHS roadways, excludes minor arterials, minor and major arterials, and locals AASHTO M 328 (2018a)
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22 Automated Pavement Condition Surveys Data Quality Management Plans As of April 2016, 23 CFR Part 490 required all U.S. DOTs to have a data quality management program describing the process to ensure pavement condition data are of high quality and representative of field conditions (Code of Federal Regulations 2017)
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Literature Review 23 Cost, Advantages, and Disadvantages McGhee (2004) conducted an agency survey, and the results showed that the total cost of data collection and processing ranged from about $30 to $125 or more per mile depending on several different factors.
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24 Automated Pavement Condition Surveys inlets) were collected and rated.
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