20251211 09184500 1.0 FALSE Centerlines_PCI_2024 002 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WKT>PROJCS["NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1312333.333333333],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.0],PARAMETER["Standard_Parallel_1",38.3],PARAMETER["Standard_Parallel_2",39.45],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2893]]</WKT><XOrigin>-120561100</XOrigin><YOrigin>-95444400</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2893</WKID><LatestWKID>2893</LatestWKID></ProjectedCoordinateSystem> NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet 20251211 09140700 20251211 09140700 150000000 5000 ItemDescription Esri ArcGIS 13.4.0.55405 Pavement Condition and Management Plan Dataset - Gaithersburg, MD - 2025 This dataset represents the results of the October 2024 pavement condition survey performed for the city of Gaithersburg, MD. The data includes pavement surface condition indices derived from high-resolution Laser Crack Measurement System (LCMS-2) technology. The results provide quantitative assessments intended for use in pavement management, maintenance prioritization, and network-level reporting. <DIV STYLE="text-align:Left;"><DIV><DIV>Attribute DefinitionsGISIDUnique identifier for the roadway segment from the client GIS network.FunCLFunctional classification of the roadway segment (e.g., Arterial, Collector, Local).PaveTypePavement surface type (e.g., Asphalt, PCC, Composite).Pavement_Cndtn_IndexFinal delivered PCI score for the roadway segment (0–100 scale).CPCIPCI aged to Easy Street Analysis start date of 7/1/2026 using deterioration models.ProjectIDUnique identifier for the improvement project or group of segments bundled for planning.Project_Current_PCIArea-weighted PCI for the full grouped project, used to determine treatment and prioritization.Rehab_ActivityRecommended treatment or rehabilitation strategy (e.g., Mill & Overlay, Microsurface, Crack Seal, Reconstruct).Whole_Project_CostTotal estimated costs for all segments included within the project group.Collected_PCIRaw or directly computed PCI derived from LCMS data prior to grouping or adjustments.Notes<UL STYLE="margin:0 0 0 0;padding:0 0 0 0;"><LI>PCI values follow ASTM D6433 methodology.</LI></UL>Use LimitationsRecommended rehabilitation activities and project groupings are planning-level outputs and should be validated through field review before final design or budgeting.Pavement Condition Index (PCI) values represent surface condition at the time of survey and may not reflect subsequent maintenance or deterioration.</DIV></DIV></DIV> Data collection and processing were performed by ICC-IMS using LCMS-2 (Laser Crack Measurement System v2) technology. Pavement Condition Data <DIV STYLE="text-align:Left;"><DIV><DIV>Recommended rehabilitation activities and project groupings are planning-level outputs and should be validated through field review before final design or budgeting.Pavement Condition Index (PCI) values represent surface condition at the time of survey and may not reflect subsequent maintenance or deterioration.</DIV></DIV></DIV> File Geodatabase Feature Class dataset EPSG 6.3(9.0.0) 0 Simple FALSE 0 TRUE FALSE Centerlines_PCI_2024 Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. PCS_ID PCS_ID Double 8 0 0 Full_Stree Full_Street String 128 0 0 Prefix_Dir Prefix_Direction String 2 0 0 Street_Nam Street_Name String 50 0 0 Street_Typ Street_Type String 6 0 0 Suffix_Dir Suffix_Direction String 2 0 0 Pavement_W Pavement_Width Double 8 0 0 Travel_Lan Travel_Lane Double 8 0 0 City_MP200 City_MP2009_Functional_Class String 24 0 0 Maint_Resp Maint_Responsibility String 24 0 0 ROW_Owners ROW_Ownership String 24 0 0 TreatmentY TreatmentYear String 10 0 0 PCI_2016 PCI_2016 Double 8 0 0 PCI_2019 PCI_2019 Double 8 0 0 Installati InstallationYear String 10 0 0 Lane_Miles Lane_Miles Double 8 0 0 Collected_PCI Collected_PCI Integer 4 0 0 DTS_NOTES DTS_NOTES String 250 0 0 created_us created_user String 254 0 0 created_da created_date Date 8 0 0 last_edite last_edited_user String 254 0 0 last_edi_1 last_edited_date Date 8 0 0 Check_Lane Check_Lane Double 8 0 0 PCI_2021 PCI_2021 Double 8 0 0 Pavetype Pavement_Type String 8000 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. 20251211