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2.6. Field Survey Methodology <br />IMS deployed one of its LCMS2 road surface testing vehicles to perform continuous sampling data <br />collection activities as part of the semi -automated pavement condition survey. The LCMS2 equipment <br />provides three-dimensional high-speed, mm-level scanning and pattern recognition analysis from two <br />downward lasers mounted at the rear of the vehicle. This provides a higher level of detail in determining <br />crack length and width measurement over the sample area. The LCMS2 device also operates as a Class I <br />profile device that collects longitudinal profile (in the form of IRI) and transverse profile (rutting) using <br />the advanced 3D profile laser scanning technology. The vehicle is also equipped with a high accuracy <br />GPS device and several high definition U cameras that collect forward, downward, and rearward <br />images. <br />Figure 8 - LCMS2 data collection vehicle <br />While the LCMS2 automatically collects the majority of visible distresses, the RST platform integrates <br />highly trained IMS technicians to input additional changes in observed distress severities and extents or <br />identify specific roadway assets or attributes such as curb reveal or lip of gutter information by means of <br />a touch scree n-based tablet computer connected to the data flow through time code, GPS, DMI distance <br />and inventory control. The data is then processed in the IMS office to generate extent quantities for <br />each observed distress severity level which are then used to calculate a PCI. <br />2.7. Data Quality Assurance <br />The final step in determining PCI scores requires the field data to be subject to multiple stages of quality <br />checks. The first phase is a rule -based check that flags roads based on expected outcomes from the <br />automatic crack detection and processing parameters used to convert the LCMS2 data into severity and <br />extent data. Part of this output is the identification of areas that are within the sample area but should <br />be excluded from the assessment. This can include the edge of pavement or curb (purple and green <br />IMS Pavement Management Report Louisville, CO 2022 Page 1 13 <br />