Automated Pavement Condition Surveys (2019) / Chapter Skim
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75 In order to showcase agency practices for conducting automated pavement condition surveys, three case examples were developed from agency-provided DQMPs and documents. The three case examples represent two SHAs and one Canadian provincial government; two of these agencies conduct automated condition surveys through vendor contracts, and one conducts data collection and analysis using agency equipment and staff.
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76 Automated Pavement Condition Surveys Monitoring During Data Collection During data collection the vendor is required to send weekly progress reports to the MoTI. The progress report includes the total kilometers collected of each type and the percent complete to-date.
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Case Examples 77 Although the algorithm can be adjusted to allow for smaller areas, based on a MoTI validation site, it was recommended the minimum area not be adjusted to minimize the likelihood of overrating. • During the manual survey, several cracks were classified as transverse cracks; however, since the orientation of the crack was more than 10 degrees from transverse, the automated crack detection did not classify these cracks as transverse cracks.
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78 Automated Pavement Condition Surveys Deliverable Protocols Resolution Accuracy Repeatability (3 runs) Roughness (IRI)
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Case Examples 79 Distress Calibration and Roughness Verification Sites Distress calibration sites include six sites that are manually rated by three DOT raters performing at least two ratings each (total of six distress ratings per calibration site) for establishing the distress reference values.
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80 Automated Pavement Condition Surveys the results to the vendor results. Table 45 summarizes the acceptance criteria and corrective action for the random 2.5% of the data selection sites.
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Case Examples 81 is within ±0.005 in.
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82 Automated Pavement Condition Surveys is checked while manually rating patching. Manual distress surveys are conducted on 2% to 3% of all pavement types (1-mi-[1.6-km-]
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Case Examples 83 Table 48. Acceptance criteria.
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