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2.0 Methodology <br />2.2 PLANNING <br />Preparation prior to performing pavement surveys involves three major components: inspector <br />training, survey type selection, and identifying sample units. <br />• Inspector Training - In order to be familiar with the inspection guidelines, inspectors are <br />prompted to read the StreetSaver Asphalt & Concrete Distress Manuals, complete the <br />web -based Pavement Management software training and learn the data input application <br />for the StreetSaver program prior to inspecting. Additionally, the inspection routes are <br />planned in a time -efficient manner to efficiently capture the pavement data. <br />• Survey Types - There are two types of surveys allowable: "windshield" and "walking" <br />surveys. A windshield survey consists of examining the pavement from a vehicle moving <br />at no more than 10 miles per hour (MPH), while a walking survey allows an inspector to <br />examine from the pavement surface itself. Although, for safety reasons, walking surveys <br />on arterial roadways may be performed from a safe place adjacent to the pavement such <br />as a sidewalk, center median, or shoulder. <br />• Sample Units - Random areas, known as sample units, within a street section are <br />inspected as a representative of the whole segment. A sample unit for an asphalt street <br />section contains a total area of 2500 square feet (SF) ±1000 SF, and a sample unit for a <br />PCC street section contains a total number of 20 slabs ±8 slabs. <br />2.3 DATA COLLECTION <br />The pavement distresses found within a sample unit are identified by type, classified by severity, <br />measured/counted, and recorded as they are encountered in the field. A number of sample units <br />are randomly selected for re -inspection to assure consistent and accurate results among <br />inspectors. <br />Refer to Error! Reference source not found. Error! Reference source not found. for further details on <br />quality control/quality assurance. <br />2.4 DATA ENTRY <br />The collected pavement distress data is input into StreetSaver, creating an inspection record for <br />each sample unit. <br />2.5 ANALYSIS <br />Based on the latest inspection data and several other factors, including surface type, functional <br />classifications, last construction date, and PCI, pavement deterioration curves (PDCs) or <br />pavement condition prediction models are generated separately for the local and arterial <br />networks. These curves are imperative for a complete PMP to predict future pavement <br />performance and determine maintenance and rehabilitation (M&R) requirements. Figure 2-1 <br />shows a sample PDC with the appropriate M&R. <br />City of Santa Ana 2024 Pavement Management Program 2-2 <br />