1 dataset found
  1. LRS Route Master

    • data.virginia.gov
    • virginiaroads.org
    • +2more
    Updated Apr 4, 2025
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    Datathon 2025 (2025). LRS Route Master [Dataset]. https://data.virginia.gov/dataset/lrs-route-master
    Explore at:
    gpkg, gdb, arcgis geoservices rest api, kml, zip, html, geojson, csv, xlsx, txtAvailable download formats
    Dataset updated
    Apr 4, 2025
    Dataset provided by
    Virginia Department Of Transportation
    Authors
    Datathon 2025
    Description

    This feature class consists of approximately 195,000 features representing over 70,000 miles of Interstate, Primary, Secondary and Urban roads throughout the State of Virginia. The Linear Referencing System is based on the Virginia Department of Transportation's Source System of Record for road inventory, Roadway Inventory Management System (RIMS).


    Geometry and Attribution: The Linear Referencing System (LRS) data contained within this feature class provides dissolved route segmentation (i.e. routes are not segmented when they intersect other routes), thus rendering one table record per route. Multi-part geometry is created where routes are noncontiguous (e.g. a valid physical gap exists because another route is the master). The feature class only depicts master routes, those are routes built in the prime direction and on divided roadways where the non-prime direction is the master. Each road centerline record has a master route record assigned.

    Measures: The linear reference is based on Official State Mileage (OSM) as derived from reference points at Roadway Inventory Management System (RIMS) roadway intersections (i.e. nodes/junctions).

    Purpose: This linear referenced data layer represents roadways that are maintained by the Virginia Department of Transportation and provides the underlying spatially enabled geometric network to which all "events" (e.g. potholes, pavement type, vehicle accidents, traffic counts, culverts, etc...) can be located. Note: The overlap and non-prime measures are for reference only and have not been fully validated for accuracy or completeness.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Datathon 2025 (2025). LRS Route Master [Dataset]. https://data.virginia.gov/dataset/lrs-route-master
Organization logo

LRS Route Master

Explore at:
gpkg, gdb, arcgis geoservices rest api, kml, zip, html, geojson, csv, xlsx, txtAvailable download formats
Dataset updated
Apr 4, 2025
Dataset provided by
Virginia Department Of Transportation
Authors
Datathon 2025
Description

This feature class consists of approximately 195,000 features representing over 70,000 miles of Interstate, Primary, Secondary and Urban roads throughout the State of Virginia. The Linear Referencing System is based on the Virginia Department of Transportation's Source System of Record for road inventory, Roadway Inventory Management System (RIMS).


Geometry and Attribution: The Linear Referencing System (LRS) data contained within this feature class provides dissolved route segmentation (i.e. routes are not segmented when they intersect other routes), thus rendering one table record per route. Multi-part geometry is created where routes are noncontiguous (e.g. a valid physical gap exists because another route is the master). The feature class only depicts master routes, those are routes built in the prime direction and on divided roadways where the non-prime direction is the master. Each road centerline record has a master route record assigned.

Measures: The linear reference is based on Official State Mileage (OSM) as derived from reference points at Roadway Inventory Management System (RIMS) roadway intersections (i.e. nodes/junctions).

Purpose: This linear referenced data layer represents roadways that are maintained by the Virginia Department of Transportation and provides the underlying spatially enabled geometric network to which all "events" (e.g. potholes, pavement type, vehicle accidents, traffic counts, culverts, etc...) can be located. Note: The overlap and non-prime measures are for reference only and have not been fully validated for accuracy or completeness.

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