100+ datasets found
  1. Grand Canyon National Park Road GIS Dataset

    • datasets.ai
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    57
    Updated Aug 26, 2024
    + more versions
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    Department of the Interior (2024). Grand Canyon National Park Road GIS Dataset [Dataset]. https://datasets.ai/datasets/grand-canyon-national-park-road-gis-dataset
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    57Available download formats
    Dataset updated
    Aug 26, 2024
    Dataset provided by
    United States Department of the Interiorhttp://www.doi.gov/
    Authors
    Department of the Interior
    Description

    Roads data are intended to be used for a variety of mapping, resource management, planning, and analysis applications.

  2. a

    Road Centerlines Shapefile

    • hub.arcgis.com
    • home-ecgis.hub.arcgis.com
    Updated Aug 9, 2018
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    Eaton County Michigan (2018). Road Centerlines Shapefile [Dataset]. https://hub.arcgis.com/datasets/cac8b5e835234551900a9cc67143879b
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    Dataset updated
    Aug 9, 2018
    Dataset authored and provided by
    Eaton County Michigan
    Description

    Roads centerlines in Eaton County, Michigan, USA. This data is updated weekly to reflect new development. Features in this dataset are not typically survey-grade.

  3. d

    TIGER/Line Shapefile, 2019, nation, U.S., Primary Roads National Shapefile

    • catalog.data.gov
    Updated Jan 15, 2021
    + more versions
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    (2021). TIGER/Line Shapefile, 2019, nation, U.S., Primary Roads National Shapefile [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-nation-u-s-primary-roads-national-shapefile
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    Dataset updated
    Jan 15, 2021
    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads.

  4. Urban Road Network Data

    • figshare.com
    zip
    Updated May 30, 2023
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    Urban Road Networks (2023). Urban Road Network Data [Dataset]. http://doi.org/10.6084/m9.figshare.2061897.v1
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    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Urban Road Networks
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Tool and data set of road networks for 80 of the most populated urban areas in the world. The data consist of a graph edge list for each city and two corresponding GIS shapefiles (i.e., links and nodes).Make your own data with our ArcGIS, QGIS, and python tools available at: http://csun.uic.edu/codes/GISF2E.htmlPlease cite: Karduni,A., Kermanshah, A., and Derrible, S., 2016, "A protocol to convert spatial polyline data to network formats and applications to world urban road networks", Scientific Data, 3:160046, Available at http://www.nature.com/articles/sdata201646

  5. Public Road Functional Classification

    • gisdata-caltrans.opendata.arcgis.com
    • data.ca.gov
    • +1more
    Updated Oct 19, 2021
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    California_Department_of_Transportation (2021). Public Road Functional Classification [Dataset]. https://gisdata-caltrans.opendata.arcgis.com/datasets/cf4982ddf16c4c9ca7242364c94c7ad6
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    Dataset updated
    Oct 19, 2021
    Dataset provided by
    Caltranshttp://dot.ca.gov/
    Authors
    California_Department_of_Transportation
    Area covered
    Description

    This Functional Classification dataset was exported from Caltrans Linear Reference System (LRS) on July 3rd, 2024. The LRS serves as the framework upon which the Highway Performance Monitoring System (HPMS) and other business data are managed.

  6. a

    AZ All Roads Network 2021

    • azgeo-open-data-agic.hub.arcgis.com
    • hub.arcgis.com
    Updated Jan 4, 2023
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    AZGeo ArcGIS Online (AGO) (2023). AZ All Roads Network 2021 [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/azgeo::az-all-roads-network-2021/about
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    Dataset updated
    Jan 4, 2023
    Dataset authored and provided by
    AZGeo ArcGIS Online (AGO)
    Area covered
    Description

    The All Roads Network or Arizona Transportation Information System (ATIS) is a geographic information system (GIS) centerline framework for presenting knowledge and inventory of roadways and associated features in Arizona. This is a true centerline file of fully connective arc polylines which represents all linear transportation features, whether open to the public, administrative, or even barricaded from public use. The All roads Network allows for connectivity among all elements that meet each other at-grade through a combination of arc-node-arc transitions (simple edges), and also supports arc-arc [without a connecting node] transitions (complex edges).

  7. Rocky Mountain National Park Road GIS Dataset

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • catalog.data.gov
    Updated Jun 5, 2024
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    National Park Service (2024). Rocky Mountain National Park Road GIS Dataset [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/rocky-mountain-national-park-road-gis-dataset
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Rocky Mountains
    Description

    A GIS dataset of roads within and around Rocky Mountain National Park.

  8. a

    All Roads (v17a)

    • gis-michigan.opendata.arcgis.com
    • gis-mdot.opendata.arcgis.com
    Updated Jul 31, 2015
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    State of Michigan (2015). All Roads (v17a) [Dataset]. https://gis-michigan.opendata.arcgis.com/datasets/all-roads-v17a
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    Dataset updated
    Jul 31, 2015
    Dataset authored and provided by
    State of Michigan
    Area covered
    Description

    All roads from the Michigan Geographic Framework (MGF) base map.More Metadata

  9. California All Public Roads Network

    • gisdata-caltrans.opendata.arcgis.com
    Updated Mar 27, 2023
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    California_Department_of_Transportation (2023). California All Public Roads Network [Dataset]. https://gisdata-caltrans.opendata.arcgis.com/datasets/2d56e65de89c418780056651640291e8
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    Dataset updated
    Mar 27, 2023
    Dataset provided by
    Caltranshttp://dot.ca.gov/
    Authors
    California_Department_of_Transportation
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The Caltrans All Roads Linear Referencing Services (LRS) dataset provides the base geometry for federally required Highway Performance Monitoring System (HPMS) business data, functionally classified roads for the California Roads System (CRS) (a requirement for federal funding of local agency projects), and the State Highway Network (SHN), which supports a wide range of internal Caltrans business needs. Description The Federal Highway Administration (FHWA) requires all state DOT's to develop and submit a Linear Referencing System (LRS) network for all public roads in their respective states known as the All Roads Network of Linear Referenced Data (ARNOLD). This ARNOLD requirement is an integral part of each state’s federally mandated Highway Performance Monitoring System (HPMS) annual submittal. To meet the ARNOLD requirement, the Division of Research, Innovation and System Information (DRISI) has developed a representation of all roads in California using a combination of the Census Bureau’s Topologically Integrated Geographic Encoding and Reference (TIGER) files and previously developed line work representing the State Highway System. This data is published publicly.

  10. a

    Data from: Road Centerlines

    • gishub-gimsoh29.opendata.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated Sep 14, 2018
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    Greene County GIS (2018). Road Centerlines [Dataset]. https://gishub-gimsoh29.opendata.arcgis.com/datasets/road-centerlines
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    Dataset updated
    Sep 14, 2018
    Dataset authored and provided by
    Greene County GIS
    Area covered
    Description

    The Road Centerlines layer contains all streets regardless of road type within Greene County. This layer is designed for both map display and for network routing. Address ranges for each segment may also be used for geocoding. Road centerlines assist in the routing of emergency vehicles.

  11. M

    MnDOT Route Centerlines

    • gisdata.mn.gov
    • data.wu.ac.at
    fgdb, gpkg, html, shp
    Updated Aug 28, 2025
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    Transportation Department (2025). MnDOT Route Centerlines [Dataset]. https://gisdata.mn.gov/dataset/trans-roads-centerlines
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    shp, html, fgdb, gpkgAvailable download formats
    Dataset updated
    Aug 28, 2025
    Dataset provided by
    Transportation Department
    Description

    This data set shows the centerlines of all public and some private roads within the state of Minnesota. Segments of pavement may have only one route or muitple routes traveling over them. One route will always be idenflied as primary and all attributes of these roadways signed to it. Other routes sharing the same pavement will be consisted co-incident or secendary and will not be a signed roadway attributes.

    State highways are divided into segments called control sections for record keeping, maintenance, construction, and other administrative purposes. The four-digit control section number is composed of the two-number county code and an identifying two-digit number within that county. Control sections are revised due to jurisdictional transfers (typically from state to county) when new highway segments or entirely new state highways are built.

    Routes State AID represent road centerlines for all state aid routes within the state of Minnesota.

    Check other metadata records in this package for more information on routes centerlines.


    Links to ESRI Feature Services:

    Coincident Routes in Minnesota: Coincident Routes

    MnDOT Control Sections: MnDOT Control Sections

    MnDOT Roadway Routes in Minnesota: MnDOT Roadway Routes

    Primary Routes in Minnesota: Primary Routes

    State Aid Routes in Minnesota: State Aid Routes

    Trunk Highways in Minnesota: Trunk Highways


  12. a

    Road Segment

    • tn-tnmap.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 1, 2022
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    TDOT_GIS (2022). Road Segment [Dataset]. https://tn-tnmap.opendata.arcgis.com/items/37229399437446b9acd653f353f7decc
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    Dataset updated
    Jun 1, 2022
    Dataset authored and provided by
    TDOT_GIS
    Area covered
    Description

    The Road Segment table describes the administration and ownership of the segment of road. It contains tabular polyline data showing the log miles/measures, road name, functional class, government control, and U.S. Routes. Road names are derived from visual surveys by field crew or official GIS maps. Functional class is set by the Federal Highway Administration (FHWA). All other categories are determined by state and local agencies. This dataset is updated weekly. County – County in Tennessee where associated features and attributes are located.Route Number – Route in Tennessee with corresponding attributes.Special Case – Route designator for non-standard routes such as By-Pass.00 None01 Spur - S02 Alternate - A03 State Connector - C04 Bypass - BP05 Business Route - BR06 Northbound - N07 Southbound - S08 Eastbound - E09 Westbound - WCounty Sequence – This number indicates the sequential number of times a route enters and leaves the county, begins with zero (0).Beginning Log Mile (BLM) – The beginning log mile (measure) for the route segment.Ending Log Mile (ELM) - The ending log mile (measure) for the route segment.Functional Classification – These codes, set by the FHWA, provide a statewide highway functional classification in rural and urban areas to determine functional usage of the existing roads and streets.01 Rural Interstate02 Rural Other Principal Arterial03 Rural Freeway or Expressway06 Rural Minor Arterial07 Rural Major Collector08 Rural Minor Collector09 Rural Local11 Urban Interstate12 Urban Freeway or Expressway14 Urban Other Principal Arterial16 Urban Minor Arterial17 Urban Collector19 Urban LocalGovernment Control – These codes determine ownership and maintenance responsibility.01 State Highway Agency02 County04 Municipal11 State Park12 Local Park21 Other State Agency25 Other Local Agency26 Private27 Railroad40 Other Public60 Other Federal Agency63 US Fish and Wildlife64 US Forest Service66 National Park Service67 TVA68 Bureau of Land Management70 Corps of Engineers (Civil)72 Air Force73 Navy or Marines74 Army80 OtherUS Route Number – US Route Number assigned to roadway segment.

  13. a

    Chad DCW/DIVA GIS Roads (1:10,000,000)

    • hub.arcgis.com
    • cwt-nga.opendata.arcgis.com
    Updated Jun 16, 2017
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    National Geospatial-Intelligence Agency (2017). Chad DCW/DIVA GIS Roads (1:10,000,000) [Dataset]. https://hub.arcgis.com/datasets/nga::transportation-use-roads?layer=28
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    Dataset updated
    Jun 16, 2017
    Dataset authored and provided by
    National Geospatial-Intelligence Agency
    Area covered
    Description

    Roads in Chad from the Digital Chart of the World.

  14. Rural & Statewide GIS/Data Needs (HEPGIS) - MAP-21 National Highway System

    • catalog.data.gov
    Updated May 8, 2024
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    Federal Highway Administration (2024). Rural & Statewide GIS/Data Needs (HEPGIS) - MAP-21 National Highway System [Dataset]. https://catalog.data.gov/dataset/rural-statewide-gis-data-needs-hepgis-map-21-national-highway-system
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    Dataset updated
    May 8, 2024
    Dataset provided by
    Federal Highway Administrationhttps://highways.dot.gov/
    Description

    HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

  15. M

    Roads, Minnesota, 2012

    • gisdata.mn.gov
    • data.wu.ac.at
    ags_mapserver, fgdb +4
    Updated Sep 14, 2023
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    Transportation Department (2023). Roads, Minnesota, 2012 [Dataset]. https://gisdata.mn.gov/dataset/trans-roads-mndot-tis
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    fgdb, shp, jpeg, html, gpkg, ags_mapserverAvailable download formats
    Dataset updated
    Sep 14, 2023
    Dataset provided by
    Transportation Department
    Area covered
    Minnesota
    Description

    This historic dataset represents road centerlines for all public roads within the state of Minnesota as of 2012. The roads are broken from intersection to intersection and attributed with information based on their designated route. Key attribute fields include route system (Interstate, US Highway, Minnesota Highway, County State Aid Highway, County Road, Township Road, etc.), Route Number (35W, 10, 53), and Name. A detailed description of the Roads layer attributes is included in Section 5 of this document - Entity and Attribute Overview.

    Some route numbers are temporary. '900' Routes are for route segments that formerly were part of a trunk highway which was turned back to a local entity. These are temporary numbers assigned while MnDOT waits for an official local designation. These numbers are assigned in the 900-999 range and are not official route numbers but just for temporarily assigning data to unnumbered routes.

    ***The route IDs and measures contained in this data set are part of the old TIS system and are no longer supported at MnDOT. To download the current data set containing MnDOT's new LRS route IDs and more accurate measures, go to: https://gisdata.mn.gov/dataset/trans-roads-centerlines

  16. i

    Road Centerlines of Indiana 2021

    • indianamap.org
    • hub.arcgis.com
    Updated Feb 1, 2022
    + more versions
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    IndianaMap (2022). Road Centerlines of Indiana 2021 [Dataset]. https://www.indianamap.org/datasets/road-centerlines-of-indiana-2021/about
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    IndianaMap
    Area covered
    Description

    This dataset was developed to provide accurate street centerlines for Indiana, as part of Indiana's annual GIS Data harvest Data Sharing Initiative (IDSI) of the Indiana Geographic Information Office (IGIO).This data layer is an Esri file geodatabase polyline feature class that contains street centerlines maintained by county agencies in Indiana. It was released by the Indiana Geographic Information Office (IGIO) on February 1, 2022. The IGIO compiled the data as part of the Indiana Data Harvest program between the Indiana Geographic Information Council (IGIC) and all Indiana counties to provide the most accurate framework data for the citizens of Indiana. These layers include address points, street centerlines, land parcels, and governmental boundaries.

  17. Data from: National Highway System

    • gis.data.ca.gov
    • data.ca.gov
    • +1more
    Updated Jul 18, 2023
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    California_Department_of_Transportation (2023). National Highway System [Dataset]. https://gis.data.ca.gov/maps/1f71fa512e824ff09d4b9c3f48b6d602_0
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    Dataset updated
    Jul 18, 2023
    Dataset provided by
    Caltranshttp://dot.ca.gov/
    Authors
    California_Department_of_Transportation
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The National Highway System consists of a network of roads important to the economy, defense and mobility. On October 1, 2012 the existing National Highway System (NHS) was expanded to include all existing Principal Arterials (i.e. Functional Classifications 1, 2 and 3) to the new Enhanced NHS. Under MAP-21, the Enhanced NHS is composed of rural and urban roads nationwide serving major population centers, international border crossings, intermodal transportation facilities, and major travel destinations.The NHS includes:The Interstate System. Other Principal arterials and border crossings on those routes (including other urban and rural principal arterial routes, and border crossings on those routes, that were not included on the NHS before the date of enactment of the MAP-21).Intermodal connectors -- highways that provide motor vehicle access between the NHS and major intermodal transportation facilities. STRAHNET -- the network of highways important to U.S. strategic defense. STRAHNET connectors to major military installations.

  18. c

    Connecticut Road

    • deepmaps.ct.gov
    • data.ct.gov
    • +4more
    Updated Mar 25, 2021
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    Department of Energy & Environmental Protection (2021). Connecticut Road [Dataset]. https://deepmaps.ct.gov/datasets/connecticut-road/about
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    Dataset updated
    Mar 25, 2021
    Dataset authored and provided by
    Department of Energy & Environmental Protection
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    Connecticut Roads and Trails is 1:24,000-scale base map data. It depicts the location of all roads and trails published on the USGS topographic quadrangle maps. For base map purposes, use this layer with other 1:24,000-scale base map data such as Hydrography, Railroads, Airports, and Towns. The Roads and Trails layer includes information within Connecticut and is derived from the Roads and Trails Master layer, which includes all road and trail features depicted on all of the U.S. Geological Survey (USGS) 7.5 minute topographic quadrangle maps that cover the State of Connecticut. This layer may be used as a possible data source for other 1:24,000-scale layers having features that should coincide with the roads and trails on the USGS topographic quadrangle maps. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

    Connecticut Roads and Trails is a 1:24,000-scale, feature-based layer that includes road and trail features on the U.S. Geological Survey (USGS) 7.5 minute topographic quadrangle maps for the State of Connecticut. This layer only includes features located in Connecticut. The layer is based on information from USGS topographic quadrangle maps published between 1969 and 1984 and does not represent the road network in Connecticut at any one particular point in time. The layer does not depict current conditions and excludes many roads that have been built, modified, or removed since the time these topographic quadrangle maps were published. The layer includes Interstate highways, US routes, state routes, local roads, unpaved roads, traffic circles, bridges, cul-de-sacs, trails, etc. It does not include route number, street name, house address, traffic direction, or traffic volume information for these features. Nor does it represent a complete or current network of hiking trails. Features are linear and represent road centerlines. Attribute information is comprised of codes to cartographically represent (symbolize) road and trail features on a map. This layer was originally published in 1994. The 2005 edition includes the same road features published in 1994, but the attribute information has been slightly modified and made easier to use.

  19. a

    Data from: Street Centerlines

    • opendata.atlantaregional.com
    • gisdata.fultoncountyga.gov
    Updated Oct 2, 2020
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    Fulton County, Georgia - GIS (2020). Street Centerlines [Dataset]. https://opendata.atlantaregional.com/datasets/fulcogis::street-centerlines/about
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    Dataset updated
    Oct 2, 2020
    Dataset authored and provided by
    Fulton County, Georgia - GIS
    Area covered
    Description

    This dataset represents the centerline of all streets, roads and highways in Fulton County. Each record represents a street segment between at-grade intersections. Attributes include street name elements, odd and even address ranges, feature type, zip code (left and right) and highway number.The municipalities of Chattahoochee Hills, College Park, East Point, Fairburn, Hapeville, Palmetto, South Fulton, Union City, as well as the Fulton Industrial District (FID) are actively maintained by the Fulton County GIS Division. The data for Johns Creek, Milton, Alpharetta, Sandy Springs, and Roswell are obtained from the respective cities data portal or REST endpoint and incorporated into this countywide data. For questions or issues concerning these cities, please contact the owner of the respective data directly.

  20. u

    Utah Roads

    • opendata.gis.utah.gov
    • hub.arcgis.com
    • +1more
    Updated Sep 30, 2016
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    Utah Automated Geographic Reference Center (AGRC) (2016). Utah Roads [Dataset]. https://opendata.gis.utah.gov/datasets/utah-roads/explore
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    Dataset updated
    Sep 30, 2016
    Dataset authored and provided by
    Utah Automated Geographic Reference Center (AGRC)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Last Update: 08/29/2024The statewide roads dataset is a multi-purpose statewide roads dataset for cartography and range based-address location. This dataset is also used as the base geometry for deriving the GIS-representation of UDOT's highway linear referencing system (LRS). A network analysis dataset for route-finding can also be derived from this dataset. This dataset utilizes a data model based on Next-Generation 911 standards and the Federal Highway Administration's All Roads Network Of Linear-referenced Data (ARNOLD) reporting requirements for state DOTs. UGRC adopted this data model on September 13th, 2017.The statewide roads dataset is maintained by UGRC in partnership with local governments, the Utah 911 Committee, and UDOT. This dataset is updated monthly with Davis, Salt Lake, Utah, Washington and Weber represented every month, along with additional counties based on an annual update schedule. UGRC obtains the data from the authoritative data source (typically county agencies), projects the data and attributes into the current data model, spatially assigns polygon-based fields based on the appropriate SGID boundary, and then standardizes the attribute values to ensure statewide consistency. UGRC also generates a UNIQUE_ID field based on the segment's location in the US National Grid, with the street name then tacked on. The UNIQUE_ID field is static and is UGRC's current, ad hoc solution to a persistent global id. More information about the data model can be found here: https://docs.google.com/spreadsheets/d/1jQ_JuRIEtzxj60F0FAGmdu5JrFpfYBbSt3YzzCjxpfI/edit#gid=811360546 More information about the data model transition can be found here: https://gis.utah.gov/major-updates-coming-to-roads-data-model/We are currently working with US Forest Service to improve the Forest Service roads in this dataset, however, for the most up-to-date and complete set of USFS roads, please visit their data portal where you can download the "National Forest System Roads" dataset.More information can be found on the UGRC data page for this layer:https://gis.utah.gov/data/transportation/roads-system/

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Department of the Interior (2024). Grand Canyon National Park Road GIS Dataset [Dataset]. https://datasets.ai/datasets/grand-canyon-national-park-road-gis-dataset
Organization logo

Grand Canyon National Park Road GIS Dataset

Explore at:
57Available download formats
Dataset updated
Aug 26, 2024
Dataset provided by
United States Department of the Interiorhttp://www.doi.gov/
Authors
Department of the Interior
Description

Roads data are intended to be used for a variety of mapping, resource management, planning, and analysis applications.

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