100+ datasets found
  1. a

    OpenStreetMap - Traffic Map

    • hub.arcgis.com
    Updated Oct 25, 2021
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    GIS Online (2021). OpenStreetMap - Traffic Map [Dataset]. https://hub.arcgis.com/maps/e5e0e0dfbd2540fd9f22e7ff1c1662b5
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    Dataset updated
    Oct 25, 2021
    Dataset authored and provided by
    GIS Online
    Area covered
    Description

    This web map contains traffic point and polygon layers from OSM (OpenStreetMap) in India and contains information about crossing, dam, fuel, lock gate etc.OSM is a collaborative, open project to create a freely available and editable map of the world. Geographic information about streets, rivers, borders, points of interest and areas are collected worldwide and stored in a freely accessible database. Everyone can participate and contribute to OSM. The geographic information available on OSM relies entirely on volunteers or contributors.The attributes are given below:CrossingDamFuelLock GateMarinaMini RoundaboutMotorway JunctionParkingParking BicycleParking MultistoreyParking UndergroundPierServiceSlipwaySpeed CameraStopStreet LampTraffic SignalsTurning CircleWaterfallWeirThese map layers are offered by Esri India Content. The content team updates the map layers quarterly. If you have any questions or comments, please let us know via content@esri.in.

  2. d

    Traffic Count Segments

    • catalog.data.gov
    • data.tempe.gov
    • +9more
    Updated Sep 20, 2024
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    City of Tempe (2024). Traffic Count Segments [Dataset]. https://catalog.data.gov/dataset/traffic-count-segments-4a2ab
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    Dataset updated
    Sep 20, 2024
    Dataset provided by
    City of Tempe
    Description

    This dataset consists of 24-hour traffic volumes which are collected by the City of Tempe high (arterial) and low (collector) volume streets. Data located in the tabular section shares with its users total volume of vehicles passing through the intersection selected along with the direction of flow.Historical data from this feature layer extends from 2016 to present day.Contact: Sue TaaffeContact E-Mail: sue_taaffe@tempe.govContact Phone: 480-350-8663Link to embedded web map:http://www.tempe.gov/city-hall/public-works/transportation/traffic-countsLink to site containing historical traffic counts by node: https://gis.tempe.gov/trafficcounts/Folders/Data Source: SQL Server/ArcGIS ServerData Source Type: GeospatialPreparation Method: N/APublish Frequency: As information changesPublish Method: AutomaticData Dictionary

  3. Traffic Counts in the United States

    • hub.arcgis.com
    Updated Jun 21, 2016
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    Esri (2016). Traffic Counts in the United States [Dataset]. https://hub.arcgis.com/maps/esri::traffic-counts-in-the-united-states/about
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    Dataset updated
    Jun 21, 2016
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of June 2023 and will be retired in December 2025.This map shows traffic counts in the United States, collected through 2022 in a multiscale map. Traffic counts are widely used for site selection by real estate firms and franchises. Traffic counts are also used by departments of transportation for highway funding. This map is best viewed at large scales where you can click on each point to access up to five different traffic counts over time. At medium to small scales, comparisons along major roads are possible. The Business Basemap has been added to provide context at medium and small scales. It shows the location of businesses in the United States and helps to understand where and why traffic counts are collected and used. The pop-up is configured to display the following information:The most recent traffic countThe street name where the count was collectedThey type of count that was taken. See the methodology document for definitions of count types such as AADT - Average Annual Daily Traffic. Traffic Counts seasonally adjusted to represent the average day of the year. AADT counts represent counts taken Sunday—Saturday.A graph displaying up to five traffic counts taken at the same location over time. Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

  4. r

    Traffic Counts

    • rigis.org
    • hub.arcgis.com
    Updated Aug 1, 2003
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    Environmental Data Center (2003). Traffic Counts [Dataset]. https://www.rigis.org/maps/traffic-counts
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    Dataset updated
    Aug 1, 2003
    Dataset authored and provided by
    Environmental Data Center
    Area covered
    Description

    This hosted feature layer has been published in RI State Plane Feet NAD 83.This data set was created for the Rhode Island Dept. of Transportation. This data set contains locations for the 24 hour average daily traffic counts on state maintained roads with information containing the station number, the segment of roadway the count was taken on, the city the count location is in and the actual 24 hour average counts for each location.This data set contains the annual 24 Hour Average Daily Traffic Count Locations on State maintained roads in Rhode Island for 2001.

  5. World Traffic Map

    • hub.arcgis.com
    • data-bgky.hub.arcgis.com
    Updated Dec 13, 2012
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    Esri (2012). World Traffic Map [Dataset]. https://hub.arcgis.com/maps/esri::world-traffic-map/about
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    Dataset updated
    Dec 13, 2012
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

  6. Average Annual Daily Traffic (AADT)

    • caliper.com
    cdf, dwg, dxf, gdb +9
    Updated Jul 25, 2024
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    Caliper Corporation (2024). Average Annual Daily Traffic (AADT) [Dataset]. https://www.caliper.com/mapping-software-data/aadt-traffic-count-data.htm
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    postgresql, postgis, sdo, geojson, shp, cdf, kml, kmz, dxf, dwg, ntf, sql server mssql, gdbAvailable download formats
    Dataset updated
    Jul 25, 2024
    Dataset authored and provided by
    Caliper Corporationhttp://www.caliper.com/
    License

    https://www.caliper.com/license/maptitude-license-agreement.htmhttps://www.caliper.com/license/maptitude-license-agreement.htm

    Time period covered
    2024
    Area covered
    United States
    Description

    Average Annual Daily Traffic data for use with GIS mapping software, databases, and web applications are from Caliper Corporation and contain data on the total volume of vehicle traffic on a highway or road for a year divided by 365 days.

  7. Data from: Annual Average Daily Traffic

    • gisdata-caltrans.opendata.arcgis.com
    • data.ca.gov
    • +2more
    Updated Sep 30, 2024
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    California_Department_of_Transportation (2024). Annual Average Daily Traffic [Dataset]. https://gisdata-caltrans.opendata.arcgis.com/datasets/d8833219913c44358f2a9a71bda57f76
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    Dataset updated
    Sep 30, 2024
    Dataset provided by
    California Department of Transportationhttp://dot.ca.gov/
    Authors
    California_Department_of_Transportation
    Area covered
    Description

    Annual average daily traffic is the total volume for the year divided by 365 days. The traffic count year is from October 1st through September 30th. Very few locations in California are actually counted continuously. Traffic Counting is generally performed by electronic counting instruments moved from location throughout the State in a program of continuous traffic count sampling. The resulting counts are adjusted to an estimate of annual average daily traffic by compensating for seasonal influence, weekly variation and other variables which may be present. Annual ADT is necessary for presenting a statewide picture of traffic flow, evaluating traffic trends, computing accident rates. planning and designing highways and other purposes.Traffic Census Program Page

  8. d

    2023 Traffic Volume

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Feb 4, 2025
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    City of Washington, DC (2025). 2023 Traffic Volume [Dataset]. https://catalog.data.gov/dataset/2023-traffic-volume
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    City of Washington, DC
    Description

    Traffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).

  9. d

    NYS Traffic Data Viewer

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Sep 15, 2023
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    data.ny.gov (2023). NYS Traffic Data Viewer [Dataset]. https://catalog.data.gov/dataset/nys-traffic-data-viewer
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    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.ny.gov
    Area covered
    New York
    Description

    This data set features a hyperlink to the New York State Department of Transportation’s (NYSDOT) Traffic Data (TD) Viewer web page, which includes a link to the Traffic Data interactive map. The Traffic Data Viewer is a geospatially based Geographic Information System (GIS) application for displaying data contained in the roadway inventory database. The interactive map has five viewable data categories or ‘layers’. The five layers include: Average Daily Traffic (ADT); Continuous Counts; Short Counts; Bridges; and Grade Crossings throughout New York State.

  10. Traffic Volume and Classification in Massachusetts

    • mass.gov
    Updated Sep 18, 2017
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    Massachusetts Department of Transportation (2017). Traffic Volume and Classification in Massachusetts [Dataset]. https://www.mass.gov/traffic-volume-and-classification-in-massachusetts
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    Dataset updated
    Sep 18, 2017
    Dataset authored and provided by
    Massachusetts Department of Transportationhttp://www.massdot.state.ma.us/
    Area covered
    Massachusetts
    Description

    A collection of historic traffic count data and guidelines for how to collect new data for Massachusetts Department of Transportation (MassDOT) projects.

  11. M

    Annual Average Daily Traffic Locations in Minnesota

    • gisdata.mn.gov
    fgdb, gpkg, html +3
    Updated Jul 31, 2025
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    Transportation Department (2024). Annual Average Daily Traffic Locations in Minnesota [Dataset]. https://gisdata.mn.gov/dataset/trans-aadt-traffic-count-locs
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    fgdb, jpeg, shp, html, webapp, gpkgAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset provided by
    Transportation Department
    Area covered
    Minnesota
    Description

    AADT represents current (most recent) Annual Average Daily Traffic on sampled road systems. This information is displayed using the Traffic Count Locations Active feature class as of the annual HPMS freeze in January. Historical AADT is found in another table. Please note that updates to this dataset are on an annual basis, therefore the data may not match ground conditions or may not be available for new roadways. Resource Contact: Christy Prentice, Traffic Forecasting & Analysis (TFA), http://www.dot.state.mn.us/tda/contacts.html#TFA

    Check other metadata records in this package for more information on Annual Average Daily Traffic Locations Information.


    Link to ESRI Feature Service:

    Annual Average Daily Traffic Locations in Minnesota: Annual Average Daily Traffic Locations


  12. d

    2022 Traffic Volume

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Feb 5, 2025
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    City of Washington, DC (2025). 2022 Traffic Volume [Dataset]. https://catalog.data.gov/dataset/2022-traffic-volume
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    City of Washington, DC
    Description

    Traffic volume of Roadway Blocks. The dataset contains traffic volume data, created as part of the District of Columbia, Department of Transportation (DDOT) Roads and Highways database. A database provided by the District of Columbia, Department of Transportation identified traffic volume. Count data is collected (both direction) at pre-selected locations on Highway Performance Monitoring System (HPMS) Sections on a three-year cycle. These counts are converted to Annual Average Daily Traffic (AADT).

  13. d

    Traffic Count Segments

    • catalog.data.gov
    • performance.tempe.gov
    • +8more
    Updated May 17, 2024
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    City of Tempe (2024). Traffic Count Segments [Dataset]. https://catalog.data.gov/dataset/traffic-count-segments-7aff2
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    Dataset updated
    May 17, 2024
    Dataset provided by
    City of Tempe
    Description

    This web map displays traffic count data provided by the City of Tempe Transportation Department. Data are symbolized by line thickness per each street section.Each segment's popup contains a weblink to historical traffic count data that are provided by the City of Tempe for public use.

  14. MDOT SHA Annual Average Daily Traffic (AADT)

    • data.imap.maryland.gov
    • hub.arcgis.com
    Updated Jun 2, 2020
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    ArcGIS Online for Maryland (2020). MDOT SHA Annual Average Daily Traffic (AADT) [Dataset]. https://data.imap.maryland.gov/maps/77010abe7558425997b4fcdab02e2b64
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    Dataset updated
    Jun 2, 2020
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Esri ArcGIS Online (AGOL) Hosted Feature Layer for accessing the MDOT SHA Annual Average Daily Traffic (AADT) data product.MDOT SHA Annual Average Daily Traffic (AADT) data consists of linear & point geometric features which represent the geographic locations & segments of roadway throughout the State of Maryland that include traffic volume information. Traffic volume information is produced from traffic counts used to calculate annual average daily traffic (AADT), annual average weekday traffic (AAWDT), AADT based on vehicle class (current year only) for roadways throughout the State. Ten (10) years of historic AADT & AAWDT traffic volume metrics are also available for each geographic location or segment of roadway throughout the State, where applicable.Annual Average Daily Traffic (AADT) data is collected from over 8700 program count stations and 84 ATRs, located throughout Maryland. The quality control feature of the system allow data edit checks and validation for data from the 91 permanent, continuous automatic traffic recorders (ATRs) and short-term traffic counts. Program count data is collected in both directions (inventory & non-inventory) at regular locations on either a three (3) year or six (6) year cycle depending on the type of roadway. Growth factors are applied to counts which were not taken during the current year and the counts are factored based on the past yearly growth of an associated ATR. Counters are placed for 48 hours on a Monday or Tuesday and are picked up that Thursday or Friday, respectively. The ATR and toll count data is collected on a continuous basis. Toll station data is provided by the Maryland Transportation Authority (MDTA). A special numeric code was added to the AADT numbers, starting in 2006, to identify the years when the count was actually taken. The last digit represents the number of years prior to the actual count. Where “0” represents the current year when data was collected (in 2020), “1” represents the count taken in 2019, “2” represents the count taken in 2018, “3” represents the count taken in 2017 and so forth.Annual Average Daily Traffic (AADT) data is a strategic resource for the Federal Highway Administration (FHWA), the Maryland Department of Transportation (MDOT), the Maryland Department of Transportation State Highway Administration (MDOT SHA), as well as many other Federal, State & local government agencies. The data is essential in the planning, design and operation of the statewide road system and the development & implementation of State highway improvement & safety programs. The MDOT SHA Traffic Monitoring System (TMS) is a product of the ISTEA Act of 1991, which required a traffic data program to effectively & efficiently meet MDOT SHA’s long-term traffic data monitoring & reporting requirements.Annual Average Daily Traffic (AADT) data is updated & published on an annual basis for the prior year. This data is for the year 2023.View the most current AADT data in the MDOT SHA Annual Average Daily Traffic (AADT) LocatorFor more AADT data information, contact MDOT SHA OPPE Traffic Monitoring System (TMS) Unit:Email: TMS@mdot.maryland.govFor more general information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

  15. C

    Street Traffic Volumes

    • phoenixopendata.com
    Updated Apr 30, 2025
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    Enterprise (2025). Street Traffic Volumes [Dataset]. https://www.phoenixopendata.com/dataset/street-traffic-volumes
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    arcgis geoservices rest api, geojson, kml, zip, csv, htmlAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset provided by
    City of Phoenix
    Authors
    Enterprise
    License

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

    Description

    City of Phoenix Street Transportation Department Traffic Volumes

  16. a

    Africa Traffic Map

    • africageoportal.com
    • rwanda.africageoportal.com
    • +3more
    Updated Dec 2, 2017
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    Africa GeoPortal (2017). Africa Traffic Map [Dataset]. https://www.africageoportal.com/maps/africa::africa-traffic-map/about
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    Dataset updated
    Dec 2, 2017
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from HERE (www.HERE.com). HERE collects billions of GPS and cell phone probe records per month and, where available, uses sensor and toll-tag data to augment the probe data collected. An advanced algorithm compiles the data and computes accurate speeds. The real-time and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The color coded map leverages historical, real time and predictive traffic data. Historical traffic is based on the average of observed speeds over the past three years. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

  17. w

    Interactive average daily traffic volume map

    • data.wu.ac.at
    • data.nsw.gov.au
    • +1more
    website link
    Updated Aug 14, 2016
    + more versions
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    New South Wales Datasets (2016). Interactive average daily traffic volume map [Dataset]. https://data.wu.ac.at/odso/data_gov_au/ODMyYzI0MTEtMzZiYi00ZDAwLThkYmUtYTMwNGMwYjk1ZTZj
    Explore at:
    website linkAvailable download formats
    Dataset updated
    Aug 14, 2016
    Dataset provided by
    New South Wales Datasets
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Interactive map displaying average road traffic volumes for a selection of permanent Roads and Maritime Services roadside collection device stations across NSW. Figures will be updated annually.

  18. WSDOT - Traffic Counts (AADT) Current

    • arcgis.com
    • geo.wa.gov
    • +1more
    Updated May 16, 2024
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    WSDOT Online Map Center (2024). WSDOT - Traffic Counts (AADT) Current [Dataset]. https://www.arcgis.com/sharing/oauth2/social/authorize?socialLoginProviderName=apple&oauth_state=aed3eXaJzD3ZoFW4c40rW1g..1stj80IDp7onqWAcf-EH5doZ4ogVuJAyJwzos-GVXQ7kyuCF1l6I59sukkYw84BoTXGV6Eda5tCIi43Ja9hd7b2tN1XHhYTxszXXGdOVHp9Ge0TfXCOLVoQZoZG-0KgYmMc6c0_lOqYOWEh_7MZrwOeTEjPmhfYvXx0l-yJz_m8ZFnnbhe-rmTQZIAEDhCpA6MiRrtysfVPhL8Ldnbi-JPGe_4Hd2_X9iwgykcy8WSA2ty0llZlCgw2igCZuwqfJvphsB_yO6TlKOMHuRFAOqtobWrlIR_CAAXV3COupCE9tpoJBjlENMltb2FLHTyIjdBsggFyADQk9Ux13qLCH
    Explore at:
    Dataset updated
    May 16, 2024
    Dataset provided by
    Washington State Department of Transportation
    Authors
    WSDOT Online Map Center
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    2023 Annual Average Daily Traffic figures for state highway traffic count locations. Data represents all directions of travel for the given location.

  19. C

    Average Daily Traffic Counts - 2006

    • chicago.gov
    • data.cityofchicago.org
    • +1more
    application/rdfxml +5
    Updated Aug 21, 2011
    + more versions
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    City of Chicago (2011). Average Daily Traffic Counts - 2006 [Dataset]. https://www.chicago.gov/city/en/depts/cdot/dataset/average_daily_trafficcounts.html
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    json, csv, xml, application/rssxml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Aug 21, 2011
    Dataset authored and provided by
    City of Chicago
    Description

    This dataset is historical. For recent data, we recommend using https://chicagotraffictracker.com. -- Average Daily Traffic (ADT) counts are analogous to a census count of vehicles on city streets. These counts provide a close approximation to the actual number of vehicles passing through a given location on an average weekday. Since it is not possible to count every vehicle on every city street, sample counts are taken along larger streets to get an estimate of traffic on half-mile or one-mile street segments. ADT counts are used by city planners, transportation engineers, real-estate developers, marketers and many others for myriad planning and operational purposes. Data Owner: Transportation. Time Period: 2006. Frequency: A citywide count is taken approximately every 10 years. A limited number of traffic counts will be taken and added to the list periodically. Related Applications: Traffic Information Interactive Map (http://webapps.cityofchicago.org/traffic/).

  20. s

    Traffic Counts

    • dataworks.siouxfalls.gov
    • catalog.data.gov
    • +1more
    Updated Feb 13, 2020
    + more versions
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    City of Sioux Falls GIS (2020). Traffic Counts [Dataset]. https://dataworks.siouxfalls.gov/maps/cityofsfgis::traffic-counts
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    Dataset updated
    Feb 13, 2020
    Dataset authored and provided by
    City of Sioux Falls GIS
    License

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

    Area covered
    Description

    Feature layer containing authoritative traffic count points for Sioux Falls, South Dakota.The traffic counts listed are 24-hour, weekday, two-directional counts. Traffic counts are normally collected during the summer months, but may be taken any season, as weather permits. The traffic counts are factored by the day of the week as well as by the month of the year to become an Average Annual Daily Total (AADT). Traffic volumes (i.e. count data) can fluctuate depending on the month, week, day of collection; the weather, type of road surface, nearby construction, etc. All of the historical data should be averaged to reflect the "normal" traffic count. More specific count data (time, date, hourly volume) can be obtained from the Sioux Falls Engineering Division at 367-8601.

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GIS Online (2021). OpenStreetMap - Traffic Map [Dataset]. https://hub.arcgis.com/maps/e5e0e0dfbd2540fd9f22e7ff1c1662b5

OpenStreetMap - Traffic Map

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Dataset updated
Oct 25, 2021
Dataset authored and provided by
GIS Online
Area covered
Description

This web map contains traffic point and polygon layers from OSM (OpenStreetMap) in India and contains information about crossing, dam, fuel, lock gate etc.OSM is a collaborative, open project to create a freely available and editable map of the world. Geographic information about streets, rivers, borders, points of interest and areas are collected worldwide and stored in a freely accessible database. Everyone can participate and contribute to OSM. The geographic information available on OSM relies entirely on volunteers or contributors.The attributes are given below:CrossingDamFuelLock GateMarinaMini RoundaboutMotorway JunctionParkingParking BicycleParking MultistoreyParking UndergroundPierServiceSlipwaySpeed CameraStopStreet LampTraffic SignalsTurning CircleWaterfallWeirThese map layers are offered by Esri India Content. The content team updates the map layers quarterly. If you have any questions or comments, please let us know via content@esri.in.

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