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Description: Data Transfer Solutions, LLC, (DTS) is headquartered out of Orlando, Florida. DTS is a federally recognized small business and a leader in Transportation Solutions, Asset Management, and Geographic Information Systems. DTS contact information: 3680 Avalon Park E. Blvd., Suite 200. Orlando, FL 32828. Phone: 407-382-5222www.dtsgis.comDTS utilizes a fleet of five vans with the following equipment for data collection:Applanix POS LV 420e V5 Navigation SystemThe POS LV system generates precise, robust positioning and orientation information for mobile data acquisition systems. The system combines all the advantages of GPS with those of inertial technology, to provide continuous and accurate data. By utilizing the POS LV system, data capture can be undertaken quickly and efficientlyIMU: Inertial Measurement Unit generates a true representation of vehicle motion in all three axes, producing continuous, accurate position and orientation information PCS: POS Computer System enables raw GPS data from as few as one satellite to be processed directly into the system, to compute accurate positional information in areas of intermittent, or no GPS reception GPS Receivers: Embedded GPS receivers provide heading aiding to supplement the inertial data GPS Antennas: Two GPS antennas generate raw observables dataSub-meter accuracy:The system is rated to get 0.3 m accuracy in the X,Y position and 0.5 m in the Z positionDistance Measuring Indicator (DMI)BEI 5000 Pulse Incremental EncoderAllows for collection of high resolution imagery at posted speeds. Distance Measurement Indicator computes wheel rotation information to aid vehicle positioning.CamerasAllied Vision Prosilica GX1920CSchneider Compact LensesFrame rate 15 images per second, 1936x1456 color resolutionHigh-definition cameras with precision lenses allow for accurate asset extractionPavement Imaging System INO Laser Road Imaging System (LRIS) Two linescan cameras and lasers configured to image 4m transverse road sections with 1 mm resolution (4000 pixel) at speeds that can reach 100 km/hAllows fully illuminated pavement image collection even in heavy shadow/canopy areasSurface Road Profiler ICC 5-laser System (Two Selcom SLS5200/300, Three Selcom SLS6375/750)Angle Lasers (SLS5200/300) have a typical accuracy of 0.0002 inches.Point Lasers (SLS6375/750) used to determine rut have a typical accuracy of 0.00037 inches.Used to collect accurate and precise Rutting and Roughness (IRI) values while traveling posted speed limitsAcquisition Server/SoftwareImage Acquisition Server running Windows 7 Ultimate with Qcorei7, 8gb RAM, (8) 2Tb disk drivesAllows for RAID data capture to prevent loss of data Utilizes Norpix’s Streampix Acquisition software, capable of handling up to 6 cameras triggering simultaneously, with precise timestamps encoded into image EXIFStreampix allows for on-the-fly image enhancements for dark or bright lighting conditionsThe total collection consisted of 530 miles spanned over 18 days from 1/26/2017 to 4/15/2017. Throughout the collection process, the unprocessed data is sent to the DTS headquarters in Orlando where it is converted into processed imagery. Once processed, the DTS team extracts the asset data utilizing DTS' EarthShaper software. Each run was then reviewed by one of the DTS team members. During this time, each run of data was reviewed for point assets of ramps. During the extraction process, two control points were used, placed as close to each other as possible, to determine the most precise location of the ramps. Once each run is extracted, the ramp assets are exported. This creates a point/line shapefile and exports a chosen image for each asset from the DTS processed imagery.Once all runs are reviewed and extracted, the shapefiles are then merged together and projected into the geographic coordinate system that most accurately represents the data. Once the ramps are extracted, projected, and merged, the complete data undergoes DTS' quality assurance process. At least ten percent of the total asset features are reviewed by a team member who did not extract the asset. The quality assurance process reviews the location of the asset to make sure it is represented accurately and within three feet or less of the actual location. The attributes populated during the extraction process are also reviewed for accuracy. If the data does not pass the initial quality assurance test, it is revisited to most accurately represent the asset. After the QA process, the data is then imported to a file geodatabase with various domains established to ensure consistency. The extracted data shows that there are 1,109 ramps.

Copyright Text: Data Transfer Solutions, 5/15/2017

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Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
XMin: 1711489.3541473746
YMin: 582937.1258319318
XMax: 1765361.4370249957
YMax: 623967.2499940842
Spatial Reference: 102736  (2274)



Drawing Info:
Renderer:
Simple Renderer:
Symbol:
Style: esriSFSSolid
Color: [0, 0, 0, 0]
Outline:
Style: esriSLSSolid
Color: [0, 0, 0, 255]
Width: 3
Label: N/A
Description: N/A
Transparency: 0
Labeling Info:
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
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• created_user ( type: esriFieldTypeString, alias: created_user, length: 255 )
• created_date ( type: esriFieldTypeDate, alias: created_date, length: 8 )
• last_edited_user ( type: esriFieldTypeString, alias: last_edited_user, length: 255 )
• last_edited_date ( type: esriFieldTypeDate, alias: last_edited_date, length: 8 )
• Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
• Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• Subdivision ( type: esriFieldTypeString, alias: Subdivision, length: 150 )

Layer: Parcels (14)

Name: Parcels

Display Field: GISLINK

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description:

Copyright Text:

Default Visibility: true

MaxRecordCount: 10000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 24000

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Extent:
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YMin: 582937.7941521555
XMax: 1765361.4370249957
YMax: 624249.8421217501
Spatial Reference: 102736  (2274)



Drawing Info:
Renderer:
Simple Renderer:
Symbol:
Style: esriSFSSolid
Color: [0, 0, 0, 0]
Outline:
Style: esriSLSSolid
Color: [156, 156, 156, 255]
Width: 1
Label: N/A
Description: N/A
Transparency: 0
Labeling Info:
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
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• created_user ( type: esriFieldTypeString, alias: created_user, length: 255 )
• created_date ( type: esriFieldTypeDate, alias: created_date, length: 8 )
• last_edited_user ( type: esriFieldTypeString, alias: last_edited_user, length: 255 )
• last_edited_date ( type: esriFieldTypeDate, alias: last_edited_date, length: 8 )
• SQFT_ASSES ( type: esriFieldTypeInteger, alias: SQFT_ASSESSMENT )
• SHAPE_Length ( type: esriFieldTypeDouble, alias: SHAPE_Length )
• SHAPE_Area ( type: esriFieldTypeDouble, alias: SHAPE_Area )
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• PARCEL_TYP ( type: esriFieldTypeDouble, alias: PARCEL_TYP )
• GISLINK ( type: esriFieldTypeString, alias: GISLINK, length: 26 )
• LRSN ( type: esriFieldTypeDouble, alias: LRSN )
• PARCEL_ID ( type: esriFieldTypeString, alias: PARCEL_ID, length: 26 )
• COUNTY ( type: esriFieldTypeString, alias: COUNTY, length: 3 )
• CITY ( type: esriFieldTypeString, alias: CITY, length: 6 )
• NEIGHBORHO ( type: esriFieldTypeDouble, alias: NEIGHBORHO )
• PROP_TYPE ( type: esriFieldTypeDouble, alias: PROP_TYPE )
• PROP_STREE ( type: esriFieldTypeString, alias: PROP_STREE, length: 40 )
• OWNER1 ( type: esriFieldTypeString, alias: OWNER1, length: 64 )
• OWNER2 ( type: esriFieldTypeString, alias: OWNER2, length: 64 )
• PXFER_DATE ( type: esriFieldTypeDate, alias: PXFER_DATE, length: 8 )
• DEED_BOOK ( type: esriFieldTypeString, alias: DEED_BOOK, length: 6 )
• DEED_PAGE ( type: esriFieldTypeString, alias: DEED_PAGE, length: 6 )
• CONSIDERAT ( type: esriFieldTypeDouble, alias: CONSIDERAT )
• PXFER_DA_1 ( type: esriFieldTypeDate, alias: PXFER_DA_1, length: 8 )
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• LAND_VALUE ( type: esriFieldTypeDouble, alias: LAND_VALUE )
• TOTAL_ASSE ( type: esriFieldTypeDouble, alias: TOTAL_ASSE )
• TOTAL_VALU ( type: esriFieldTypeDouble, alias: TOTAL_VALU )
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• URL_LINK ( type: esriFieldTypeString, alias: URL_LINK, length: 150 )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• Acreage ( type: esriFieldTypeDouble, alias: Acreage )
• OWN_STREET ( type: esriFieldTypeString, alias: OWNER_STREET, length: 64 )
• OWN_CITY ( type: esriFieldTypeString, alias: OWN_CITY, length: 64 )
• OWN_STATE ( type: esriFieldTypeString, alias: OWN_STATE, length: 4 )
• OWN_ZIP ( type: esriFieldTypeString, alias: OWN_ZIP, length: 16 )