Laserfiche WebLink
City of Everett | RFP No. 2023-057 <br />November 2, 2023 <br />IMS Infrastructure Management Services, LP 17 <br />• IMS PCI Calculation – Pavement distress data is imported into IMS’ PCI calculation <br />software and PCI values are determined for each roadway segment using a scale from <br />zero (0) to one hundred (100) as defined in ASTM D6433. <br />• IMS Quality Control (QC) – Under the supervision of the IMS project manager, the <br />project QC team—comprised of trained, experienced, and certified pavement raters— <br />evaluates the results of the automated processes alongside the collected imagery and <br />corrects any issues observed. During this step, our QC team also reviews any field <br />comments from the Drive™ data collection system that may indicate the presence of <br />unusual pavement conditions inadvertently impacting our automation, such as debris <br />(sand, gravel, dirt, leaves, etc.) on the roadway. The IMS project manager will conduct <br />an independent review of the data and work with the QC team lead to address any <br />issues that their independent review identifies. <br />• IMS Quality Assurance (QA) – The IMS QA manager independently reviews the rated <br />data and works with the IMS project manager and QC team to correct any issues <br />observed. <br />• Client QA – The IMS project manager reviews the findings of the pavement condition <br />data with client staff before beginning any analysis or reporting activities. IMS will <br />present the pavement condition data in a Client Review Spreadsheet (CRS) along with <br />maps illustrating pavement conditions for the client to independently review. <br /> <br />Data Quality Monitoring <br />During the collection and processing workflow, data discrepancies are detected in three ways: <br /> <br />• During data collection by means of real-time health monitoring systems onboard the <br />RST van <br />• During data processing in Connect™’s data import module by means of data quality <br />checks that include data completeness and data synchronization validation <br />• During data reporting in Connect™’s report generation module by means of sensibility <br />and range checks <br /> <br />These processes are run on 100% of the collected and processed data. Any road sections with <br />data discrepancies arising from sensors, systems, or processing that exceed the defined <br />thresholds will be recollected and/or reprocessed, as necessary. <br />