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road networks, Infrastructure networks, intersections, cars, download road networks, road graph data, road network data, download road network data, asia road network, US road network data, download road graph data, roadNet-CA
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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
The Road Network dataset includes traffic directions, turning restrictions at road junctions, stopping restrictions, on-street parking spaces and other road traffic data for supporting the development of intelligent transport system, fleet management system and car navigation etc. by the public. There are 3 kinds of spatial data file format available: File GeoDatabase(FGDB, provided in ZIP): Users can read this consolidated list to enquire the data resource and file names. KML: Users can read this consolidated list to enquire the data resource and file names. GML + GFS:Users can read this consolidated list to enquire the data resource and file names. Delta Change provided in CSV format, users can read this consolidated list to enquire the data resource and file names.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Notice - Replacement of the English and French Web services (WMS and ESRI REST) with a bilingual one. The NRN product is distributed in the form of thirteen provincial or territorial datasets and consists of two linear entities (Road Segment and Ferry Connection Segment) and three punctual entities (Junction, Blocked Passage, Toll Point) with which is associated a series of descriptive attributes such as, among others: First House Number, Last House Number, Street Name Body, Place Name, Functional Road Class, Pavement Status, Number Of Lanes, Structure Type, Route Number, Route Name, Exit Number. The development of the NRN was realized by means of individual meetings and national workshops with interested data providers from the federal, provincial, territorial and municipal governments. In 2005, the NRN edition 2.0 was alternately adopted by members from the Inter-Agency Committee on Geomatics (IACG) and the Canadian Council on Geomatics (CCOG). The NRN content largely conforms to the ISO 14825 from ISO/TC 204.
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Local Road Network for 31 local authorities. Extracted from MapRoad Asset Management System. The Road Management Office and the Local Authorities provides this information with the understanding that it is not guaranteed to be accurate, correct or complete. The Road Management Office or the Local Authorities accept no liability for any loss or damage suffered by those using this data for any purpose. The road infrastructure is the largest asset managed by local authorities in Ireland. It’s efficient management (both day to day and in the long term) is essential to economic activity as the majority of commuting and haulage occurs using it. The 31 local authorities operate, maintain and improve the network of regional and local roads.
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For details please visit http://sedac.ciesin.columbia.edu/data/set/groads-global-roads-open-access-v1/data-download
In 2023, the number of roads in Poland amounted to over ******* kilometers, a slight increase compared to the previous year. The most significant number of roads was in non-urban areas.
National Road Network Road Segment data of Yukon Territory, Northwest Territories, Alberta, and British Columbia. The data sets were clipped to the Yukon Territory CSW extent and merged. Yukon Transportation fields were added that provide road management information. The Yukon Transportation fields also apply to British Columbia highways maintained by Yukon Department of Highways and Public Works. The NRN product is distributed in the form of thirteen provincial or territorial datasets and consists of two linear entities (Road Segment and Ferry Connection Segment) and three punctual entities (Junction, Blocked Passage, Toll Point) with which is associated a series of descriptive attributes such as, among others: First House Number, Last House Number, Street Name Body, Place Name, Functional Road Class, Pavement Status, Number Of Lanes, Structure Type, Route Number, Route Name, Exit Number. The development of the NRN was realized by means of individual meetings and national workshops with interested data providers from the federal, provincial, territorial and municipal governments. In 2005, the NRN edition 2.0 was alternately adopted by members from the Inter-Agency Committee on Geomatics (IACG) and the Canadian Council on Geomatics (CCOG). The NRN content largely conforms to the ISO 14825 from ISO/TC 204.
The Strategic Highway Network (STRAHNET) dataset and its geometries was updated on August 08, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The layer represents the Strategic Highway Network (STRAHNET). The STRAHNET is a subset of the National Highway System (NHS) and includes information such as road segments, direction, build date, state codes, functional classification, ownership, and other attributes related to highways in the United States. The provided information outlines the preparation of a layer that represents the National Highway System (NHS) in the context of the HPMS 2020 Geometric network and attribute definition source HPMS 2020. The NHS layer incorporates attributes from HPMS, and the conflation process involves the transfer of State_Code, Year_Record, Route_ID, Begin_Point, End_Point, and F_SYSTEM fields. Calibration of Begin_Point and End_Point is performed based on shape length and sequence for split links. The minimum positional accuracy is specified at a spatial resolution of 1:100,000 or better, although most state-submitted data ranges between 1:5,000 to 1:10,000. The spatial data organization method is described as a vector using the SDTS (Spatial Data Transfer Standard) Point and Vector Object Type with a count of 626,366 objects. The coordinate system is defined in geographic terms with a horizontal datum of D WGS 1984, employing decimal degrees for latitude and longitude. The entity and attribute information is comprehensive, covering various aspects of the NHS and HPMS data. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529838
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Jordan Road Network: Highways data was reported at 2,805.000 km in 2017. This records an increase from the previous number of 2,764.000 km for 2016. Jordan Road Network: Highways data is updated yearly, averaging 2,820.000 km from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 3,440.000 km in 2007 and a record low of 1,928.000 km in 1985. Jordan Road Network: Highways data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under Global Database’s Jordan – Table JO.TA004: Road Network.
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RAV Network information periodically changes with additions or removal of data and users should confirm that information is current and accurate. The RAV Network Road Tables and RAV Mapping Tool can be found on the Main Roads Western Australia website, refer Hyperlink below.https://www.mainroads.wa.gov.au/heavy-vehicles/Main Roads Open Data: Restricted Access Networkshttps://portal-mainroads.opendata.arcgis.com/pages/hvs-networksUpdate Frequency: WeeklySpatial Coverage: Western AustraliaLegalYou are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Main Roads WA website is the official and current source of RAV Network data.Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material and when you Share your Adapted Material: The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. Main Roads WA website is the official and current source of RAV Network data.Licensinghttps://creativecommons.org/licenses/by/4.0/legalcode
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Bulgaria Road Network: Paved Roads: Bituminized data was reported at 19,449.000 km in 2021. This records an increase from the previous number of 19,431.000 km for 2020. Bulgaria Road Network: Paved Roads: Bituminized data is updated yearly, averaging 19,375.000 km from Dec 1995 (Median) to 2021, with 27 observations. The data reached an all-time high of 33,039.000 km in 2001 and a record low of 18,684.000 km in 2003. Bulgaria Road Network: Paved Roads: Bituminized data remains active status in CEIC and is reported by National Statistical Institute. The data is categorized under Global Database’s Bulgaria – Table BG.TA004: National Road Network.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The ORN is a provincewide geographic database of over 250,000 kilometres of municipal roads, provincial highways, and resource and recreational roads. The ORN is the authoritative source of roads data for the Government of Ontario. Road names in the ORN are the official names provided by the authoritative jurisdiction for each road segment, such as a municipality or the Ontario Government. The list of authoritative sources used for the ORN is in the “Ontario Road Network - List of Partners” document in the Supporting Files section below. You can also find the authoritative jurisdiction for a specific road feature in the Jurisdiction table in ORN Road Net Element. ORN Road Net Element requires an advanced knowledge of GIS including LRS and complex table relationships. This dataset contains the following related tables: * official street name * alternate street name * address information * road classification * number of lanes * road surface * speed limit * structure * toll point * blocked passage * route name * route number * jurisdiction * source * underpass * junction
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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.
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Jordan Road Network: Secondary Roads data was reported at 1,999.000 km in 2017. This records an increase from the previous number of 1,948.000 km for 2016. Jordan Road Network: Secondary Roads data is updated yearly, averaging 1,948.000 km from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 2,173.000 km in 2009 and a record low of 869.000 km in 1985. Jordan Road Network: Secondary Roads data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under Global Database’s Jordan – Table JO.TA004: Road Network.
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Jordan Road Network: Rural Roads data was reported at 2,679.000 km in 2017. This records an increase from the previous number of 2,665.400 km for 2016. Jordan Road Network: Rural Roads data is updated yearly, averaging 2,318.000 km from Dec 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 2,679.000 km in 2017 and a record low of 1,428.000 km in 1987. Jordan Road Network: Rural Roads data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under Global Database’s Jordan – Table JO.TA004: Road Network.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
This dataset contains the roads of the Grand-Duchy of Luxembourg. The dataset is structured according to the INSPIRE Annex I Theme - Transport networks. The data was originally derived from the BD-L-TC Database (2015), enriched and supplemented by official data (locality and street names) from the national register of localities and streets (CACLR) and the BD-Address. Updates are carried out continuously by the administration du cadastre et de la topographie taking into account various sources, including:
The dataset contains road links with the European roads code, the national roads code, the national roads name, the number of lanes, the roads width, the form of ways, the vertical position, the conditions of facility and the functional road classes information.
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Layout of the road network of Navarre. It consists of the axles of all the roads that exist in the network.
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Jordan Road Network: Secondary Roads: Mafraq data was reported at 297.000 km in 2017. This records an increase from the previous number of 295.000 km for 2016. Jordan Road Network: Secondary Roads: Mafraq data is updated yearly, averaging 285.000 km from Dec 1990 (Median) to 2017, with 27 observations. The data reached an all-time high of 297.000 km in 2017 and a record low of 249.000 km in 1991. Jordan Road Network: Secondary Roads: Mafraq data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under Global Database’s Jordan – Table JO.TA004: Road Network.
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Jordan Road Network: Secondary Roads: Jarash data was reported at 94.000 km in 2017. This stayed constant from the previous number of 94.000 km for 2016. Jordan Road Network: Secondary Roads: Jarash data is updated yearly, averaging 117.000 km from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 120.000 km in 2009 and a record low of 2.000 km in 1997. Jordan Road Network: Secondary Roads: Jarash data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under Global Database’s Jordan – Table JO.TA004: Road Network.
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road networks, Infrastructure networks, intersections, cars, download road networks, road graph data, road network data, download road network data, asia road network, US road network data, download road graph data, roadNet-CA