18 datasets found
  1. a

    Traffic

    • trip-thrive-geohub.hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 22, 2024
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    ThriveRegionalPartnership (2024). Traffic [Dataset]. https://trip-thrive-geohub.hub.arcgis.com/maps/5cccf8bcdcd841b0b3733268dd27ecf7
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    Dataset updated
    Feb 22, 2024
    Dataset authored and provided by
    ThriveRegionalPartnership
    Area covered
    Description

    Georgia_Average_Annual_Daily_Trafffic_2022: Traffic data for selected Georgia road segments between 2020-222. Data obtained from GDOT in 2022 and updated in late 2023. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT. https://www.dot.ga.gov/DS/DataRegional Traffic Counts 2019-2022: This layer shows traffic counts in the greater Chattanooga region compiled by ESRI. Traffic counts are widely used by departments of transportation for highway funding or planning purposes.GaRoad Network Truck 2020: Traffic data for selected Georgia road segments in 2020. Data obtained from GDOT in May 2022. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT. https://www.dot.ga.gov/DS/DataTN Road Network Traffic 2022: Traffic data for selected TN road segments in 2020-2022. Data obtained from TDOT in May 2022 and updated in late 2023. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT.

  2. a

    GDOT Traffic Counts (AADT and Truck Percent) 2008 to 2017

    • data-coss.opendata.arcgis.com
    • gisdata.fultoncountyga.gov
    • +2more
    Updated Dec 14, 2018
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    City of Sandy Springs (2018). GDOT Traffic Counts (AADT and Truck Percent) 2008 to 2017 [Dataset]. https://data-coss.opendata.arcgis.com/datasets/gdot-traffic-counts-aadt-and-truck-percent-2008-to-2017/api
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    Dataset updated
    Dec 14, 2018
    Dataset authored and provided by
    City of Sandy Springs
    Area covered
    Description

    Traffic count data downloaded from GDOT public map here: https://gdottrafficdata.drakewell.com/publicmultinodemap.aspRetrieved Annual Statistics Reports: "All Station AADT and Truck Percent Statistics." Mapped by Lat/Long field.Retrieved and rehosted for staff use and overlay on city maps on 12/14/2018."The Georgia Department of Transportation’s Traffic Analysis and Data Application (TADA!) website presents data collected from the Georgia Traffic Monitoring Program located on the public roads in Georgia. The Website uses a dynamic mapping interface to allow the User to access data from the map as well as in a variety of report, graph, and data export formats."

  3. a

    Traffic Count Locator - Sandy Springs, Georgia

    • hub.arcgis.com
    Updated Aug 7, 2018
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    City of Sandy Springs (2018). Traffic Count Locator - Sandy Springs, Georgia [Dataset]. https://hub.arcgis.com/app/COSS::traffic-count-locator-sandy-springs-georgia
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    Dataset updated
    Aug 7, 2018
    Dataset authored and provided by
    City of Sandy Springs
    License

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

    Area covered
    Sandy Springs, Georgia
    Description

    This application serves as an index for traffic counts and provides some basic information; however, full reports and details of counts can be requested by Open Records Requests for a given location. Email questions about the application to GIS@Sandyspringsga.gov

  4. j

    Traffic Counting Locations

    • datahub.johnscreekga.gov
    • opendata.atlantaregional.com
    • +2more
    Updated Dec 11, 2020
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    City of Johns Creek, GA (2020). Traffic Counting Locations [Dataset]. https://datahub.johnscreekga.gov/datasets/JohnsCreekGA::traffic-counting-locations-1/about
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    Dataset updated
    Dec 11, 2020
    Dataset authored and provided by
    City of Johns Creek, GA
    License

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

    Area covered
    Description

    This layer contains points that highlight traffic counting locations with their associated traffic count observations over several years since 2013 within the City of Johns Creek, GA.Data Note: In 2020, only one direction of traffic was recorded for locations #19, 28, and 34. In the data contained in this layer, that single direction count was duplicated to make year to year comparisons more accurate.

  5. Gabon GA: Mortality Caused by Road Traffic Injury: per 100,000 People

    • ceicdata.com
    Updated Apr 24, 2018
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    CEICdata.com (2018). Gabon GA: Mortality Caused by Road Traffic Injury: per 100,000 People [Dataset]. https://www.ceicdata.com/en/gabon/health-statistics/ga-mortality-caused-by-road-traffic-injury-per-100000-people
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    Dataset updated
    Apr 24, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2000 - Dec 1, 2015
    Area covered
    Gabon
    Description

    Gabon GA: Mortality Caused by Road Traffic Injury: per 100,000 People data was reported at 22.700 Number in 2015. This records a decrease from the previous number of 24.200 Number for 2010. Gabon GA: Mortality Caused by Road Traffic Injury: per 100,000 People data is updated yearly, averaging 23.700 Number from Dec 2000 (Median) to 2015, with 4 observations. The data reached an all-time high of 24.600 Number in 2005 and a record low of 22.700 Number in 2015. Gabon GA: Mortality Caused by Road Traffic Injury: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Gabon – Table GA.World Bank: Health Statistics. Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.; ; World Health Organization, Global Status Report on Road Safety.; Weighted average;

  6. TIGER/Line Shapefile, 2023, State, Georgia, Primary and Secondary Roads

    • catalog.data.gov
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, 2023, State, Georgia, Primary and Secondary Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-state-georgia-primary-and-secondary-roads
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    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. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not bedivided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.

  7. a

    Data from: Traffic Cameras

    • opendata.atlantaregional.com
    Updated Aug 28, 2020
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    City of Johns Creek, GA (2020). Traffic Cameras [Dataset]. https://opendata.atlantaregional.com/datasets/JohnsCreekGA::traffic-cameras/explore
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    Dataset updated
    Aug 28, 2020
    Dataset authored and provided by
    City of Johns Creek, GA
    License

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

    Area covered
    Description

    This layer contains all aspects of the physical traffic signal infrastructure present in the City of Johns Creek, GA.Traffic signal heads: actual traffic signals in the CityLight sign locations: locations of all lighted signsSignal masts and wires: locations of all mast arms and wires that hold traffic signal heads and other signagePedestrian controls and signals: locations of all pedestrian controls and signalsTraffic cameras: locations of all traffic camerasSignal cabinets: locations of all signal cabinets containing ITS infrastructureTraffic counting locations: locations of all traffic counting infrastrucutureTraffic signal pucks: locations of all traffic pucks that have been installed

  8. f

    Traffic Jams

    • gisdata.fultoncountyga.gov
    • opendata.atlantaregional.com
    • +1more
    Updated May 7, 2021
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    City of Johns Creek, GA (2021). Traffic Jams [Dataset]. https://gisdata.fultoncountyga.gov/datasets/JohnsCreekGA::traffic-jams
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    Dataset updated
    May 7, 2021
    Dataset authored and provided by
    City of Johns Creek, GA
    License

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

    Area covered
    Description

    This layer contains traffic jams detected by Waze that have been aggregated to street data for Johns Creek, GA. By aggregating the tiny and/or inconsistently sized jams to larger portions of roadway, traffic analysis can be done more accurately. Data is updated every 5 minutes continuously.

  9. Gabon GA: Container Port Traffic: TEU (20 Foot Equivalent Units)

    • dr.ceicdata.com
    • ceicdata.com
    Updated Jun 6, 2025
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    CEICdata.com (2025). Gabon GA: Container Port Traffic: TEU (20 Foot Equivalent Units) [Dataset]. https://www.dr.ceicdata.com/en/gabon/transportation/ga-container-port-traffic-teu-20-foot-equivalent-units
    Explore at:
    Dataset updated
    Jun 6, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2008 - Dec 1, 2016
    Area covered
    Gabon
    Description

    Gabon GA: Container Port Traffic: TEU (20 Foot Equivalent Units) data was reported at 550,000.000 TEU in 2017. This records an increase from the previous number of 518,000.000 TEU for 2016. Gabon GA: Container Port Traffic: TEU (20 Foot Equivalent Units) data is updated yearly, averaging 518,000.000 TEU from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 550,000.000 TEU in 2017 and a record low of 132,348.800 TEU in 2009. Gabon GA: Container Port Traffic: TEU (20 Foot Equivalent Units) data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Gabon – Table GA.World Bank.WDI: Transportation. Port container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment traffic is counted as two lifts at the intermediate port (once to off-load and again as an outbound lift) and includes empty units.; ; UNCTAD (http://unctad.org/en/Pages/statistics.aspx); Sum;

  10. Turkey Central Govt: RE: GB: SF: PA: GA: Traffic Insurance Shares

    • ceicdata.com
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    CEICdata.com, Turkey Central Govt: RE: GB: SF: PA: GA: Traffic Insurance Shares [Dataset]. https://www.ceicdata.com/en/turkey/central-government-budget-revenue-ministry-of-finance/central-govt-re-gb-sf-pa-ga-traffic-insurance-shares
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Turkey
    Variables measured
    Government Budget
    Description

    Turkey Central Govt: RE: GB: SF: PA: GA: Traffic Insurance Shares data was reported at 0.000 TRY th in Jun 2018. This records an increase from the previous number of -28,586.000 TRY th for May 2018. Turkey Central Govt: RE: GB: SF: PA: GA: Traffic Insurance Shares data is updated monthly, averaging 12,170.500 TRY th from Jan 2006 (Median) to Jun 2018, with 150 observations. The data reached an all-time high of 62,118.000 TRY th in Jan 2017 and a record low of -28,586.000 TRY th in May 2018. Turkey Central Govt: RE: GB: SF: PA: GA: Traffic Insurance Shares data remains active status in CEIC and is reported by General Directorate of Public Accounts. The data is categorized under Global Database’s Turkey – Table TR.F003: Central Government Budget: Revenue: Ministry of Finance.

  11. Data from: Energy and Emissions Impacts of Atlanta's Reversible Express Toll...

    • zenodo.org
    csv, text/x-python +1
    Updated Oct 1, 2024
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    Hongyu Lu; Hongyu Lu (2024). Energy and Emissions Impacts of Atlanta's Reversible Express Toll Lanes and High-Occupancy Toll Lanes [Dataset]. http://doi.org/10.5281/zenodo.13381895
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    text/x-python, zip, csvAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Hongyu Lu; Hongyu Lu
    License

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

    Time period covered
    Aug 30, 2024
    Area covered
    Atlanta
    Description

    This dataset is the MOVES-Matrix emission rates for the NCST project of Energy and Emissions Impacts of Atlanta’s Reversible Express Toll Lanes and High-Occupancy Toll Lanes, developed by our research team at Georgia Institute of Technology.

    The abstract of the project is as follows.

    This report summarizes the impact on corridor-level energy use and emissions associated with the 2018 opening of the I-75 Northwest Corridor (NWC) and I-85 Express Lanes in Atlanta, GA. The research team tracked changes in vehicle throughput on the managed lane corridors (extracted from GDOT’s Georgia NaviGAtor machine vision system after comprehensive QA/QC) and performed a difference-in-difference analysis to exclude regional changes, pairing test sites vs. control sites not influenced by the openings. The results show a large increase in overall peak-period vehicle throughput on the NWC, especially on I-575, due to the congestion decrease (20 mph speed increases at some locations). The increase in corridor-level energy use and emissions was smaller than vehicle throughput, but still significant. Predicted downwind maximum CO concentrations only increased from 1.81 ppm to 1.93 ppm(which remains extremely low). The increase in morning peak activity on the corridor likely resulted from diversion of some traffic into the peak from the shoulder periods, diversion of some traffic from other nearby freeway corridors, and diversion of local road traffic into the corridor. Unfortunately, without overall control volume totals and/or pre-and-post travel behavior surveys for the alternative commute routes, it is not possible to quantify the likely reductions in traffic flow and emissions that occurred along the other corridors that likely resulted from morning commute shifts. Hence, the team cannot draw reliable conclusions related to net regional or sub-regional impacts associated with the new managed lane corridors. The impact observed on the I-85 corridor was much smaller than on the NWC, especially at Indian Trail/Lilburn Road (far from the Express Lane Extension). After the Express Lanes opened, energy use and emission rates at Old Peachtree Road increased slightly (as uncongested vehicle speeds increased), but this increase may be short-lived as traffic on the corridor changes over time.

  12. e

    Traffic data for bicycles and motorised private transport

    • data.europa.eu
    zip
    + more versions
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    Amt für Tiefbau und Geoinformation, Traffic data for bicycles and motorised private transport [Dataset]. https://data.europa.eu/data/datasets/0e100908-2fcc-477b-ab99-33522ddd84ce?locale=ga
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    zipAvailable download formats
    Dataset authored and provided by
    Amt für Tiefbau und Geoinformation
    License

    http://dcat-ap.ch/vocabulary/licenses/terms_byhttp://dcat-ap.ch/vocabulary/licenses/terms_by

    Description

    Verkehrsdaten Fahrrad und Motorisierter Individualverkehr - Verkehrszahlen der permanenter Messtellen. Der Datensatz enthält die nach Monaten und Quartalen aufsummierten Verkehrsdaten für den Fahrradverkehr und den Motorisierter Individualverkehr.

  13. 加蓬 GA:道路交通事故损伤造成的死亡:每10万人

    • dr.ceicdata.com
    • ceicdata.com
    Updated Jun 3, 2025
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    CEICdata.com (2025). 加蓬 GA:道路交通事故损伤造成的死亡:每10万人 [Dataset]. https://www.dr.ceicdata.com/zh-hans/gabon/health-statistics/ga-mortality-caused-by-road-traffic-injury-per-100000-people
    Explore at:
    Dataset updated
    Jun 3, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2000 - Dec 1, 2015
    Area covered
    加蓬
    Description

    GA:道路交通事故损伤造成的死亡:每10万人在12-01-2015达22.700数量,相较于12-01-2010的24.200数量有所下降。GA:道路交通事故损伤造成的死亡:每10万人数据按年更新,12-01-2000至12-01-2015期间平均值为23.700数量,共4份观测结果。该数据的历史最高值出现于12-01-2005,达24.600数量,而历史最低值则出现于12-01-2015,为22.700数量。CEIC提供的GA:道路交通事故损伤造成的死亡:每10万人数据处于定期更新的状态,数据来源于World Bank,数据归类于Global Database的加蓬 – 表 GA.世界银行:卫生统计。

  14. e

    Ampelanlagen, Bayreuth, DE-BY

    • data.europa.eu
    csv, esri shape +1
    Updated Mar 1, 2025
    + more versions
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    movisda GmbH (2025). Ampelanlagen, Bayreuth, DE-BY [Dataset]. https://data.europa.eu/data/datasets/0e414714-57b3-4589-b167-634ac3410f28?locale=ga
    Explore at:
    geojson(19994), esri shape(3732), csv(6146), esri shape(3733), esri shape(3731)Available download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    movisda GmbH
    License

    http://dcat-ap.de/def/licenses/odblhttp://dcat-ap.de/def/licenses/odbl

    Area covered
    Description

    Dieser Datensatz enthält Informationen zu Ampelanlagen aus dem Projekt OpenStreetMap.

    Die Aktualisierung der Daten erfolgt wöchentlich. Es werden auch immer einige historische Daten zur Verfügung gestellt. Daher ist das Datum der Daten zu beachten.

    Verwendete Tags von OpenStreetMap:

  15. e

    Ampelanlagen, Landkreis Wunsiedel im Fichtelgebirge, DE-BY

    • data.europa.eu
    csv, esri shape +1
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    movisda GmbH, Ampelanlagen, Landkreis Wunsiedel im Fichtelgebirge, DE-BY [Dataset]. https://data.europa.eu/data/datasets/ede4ef2c-81cd-4279-9bfc-e7a92f600441?locale=ga
    Explore at:
    esri shape(2834), geojson(11726), geojson(11727), esri shape(2832), csv(3636), csv(3635), esri shape(2833), esri shape(2835)Available download formats
    Dataset authored and provided by
    movisda GmbH
    License

    http://dcat-ap.de/def/licenses/odblhttp://dcat-ap.de/def/licenses/odbl

    Area covered
    Description

    Dieser Datensatz enthält Informationen zu Ampelanlagen aus dem Projekt OpenStreetMap.

    Die Aktualisierung der Daten erfolgt wöchentlich. Es werden auch immer einige historische Daten zur Verfügung gestellt. Daher ist das Datum der Daten zu beachten.

    Verwendete Tags von OpenStreetMap:

  16. e

    Police Recorded Injury Road Traffic Collision Statistics Northern Ireland...

    • data.europa.eu
    csv, pdf
    + more versions
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    OpenDataNI, Police Recorded Injury Road Traffic Collision Statistics Northern Ireland 2020 [Dataset]. https://data.europa.eu/data/datasets/police-recorded-injury-road-traffic-collision-statistics-northern-ireland-2020?locale=ga
    Explore at:
    csv, pdfAvailable download formats
    Dataset authored and provided by
    OpenDataNI
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Area covered
    Tuaisceart Éireann, Ireland
    Description

    The PSNI produces statistics on injury road traffic collisions (RTCs) that are reported to the Police. These statistics are collected in accordance with the STATS20 guidance from the Department for Transport (DfT) and are comparable with the statistics in Great Britain (GB). Damage only collisions or those collisions resulting in no injuries are excluded from these statistics.

  17. a

    Major Road Network

    • amsis-geoscience-au.hub.arcgis.com
    Updated Oct 25, 2021
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    Geoscience Australia (2021). Major Road Network [Dataset]. https://amsis-geoscience-au.hub.arcgis.com/datasets/geoscience-au::major-road-network-1
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    Dataset updated
    Oct 25, 2021
    Dataset authored and provided by
    Geoscience Australia
    License

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

    Area covered
    Description

    These data are best suited to graphical applications. These data may vary greatly in quality depending on the method of capture and digitising specifications in place at the time of capture. All features have been included from the 250K data capture. 250K Specification Description - Dual Carriageway - Divided Highway, Freeway, Tollway, or other road with a physical separation of carriageways via remnant land, significant carriageway height variation or constructed barrier preventing movement of vehicles between carriageways. Each carriageway has opposite directions of traffic flow but the same name and other common core attributes. Standard Road - A route for the movement of vehicles contained within a single carriageway. These roads have sufficient levels of maintenance (eg grading) or construction for two wheel drive access in normal weather conditions for the region. Traffic flow may be one or two way and vehicles are able to cross between traffic lanes freely. Road Connector - An artificial line used to create a crossroad (eg 3 way or more) intersection at a central node of all roads associated with the entry and exit from a roundabout. This is used to maintain network connectivity, path analysis and cartographic generalisation through scales. See Section 3 for more details. (Source - http://www.ga.gov.au/mapspecs/topographic/v6/appendixA_files/RoadTransport.html). NOTE - This layer only displays between the National Scale and 1:7,050,000 scale to avoid clutter at the national scale (approx 1:36,000,000). Refer to other Roads layers at different scales for the National Map.

  18. a

    Traffic Signal Standards

    • gis-cityofchampaign.opendata.arcgis.com
    • data.ccrpc.org
    Updated Mar 28, 2018
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    City of Champaign (2018). Traffic Signal Standards [Dataset]. https://gis-cityofchampaign.opendata.arcgis.com/maps/cityofchampaign::traffic-signal-standards
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    Dataset updated
    Mar 28, 2018
    Dataset authored and provided by
    City of Champaign
    Area covered
    Description

    This data set contains the location of traffic signal standards in the city of Champaign. A standard is any traffic light pole that doesn't have a mast arm.

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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ThriveRegionalPartnership (2024). Traffic [Dataset]. https://trip-thrive-geohub.hub.arcgis.com/maps/5cccf8bcdcd841b0b3733268dd27ecf7

Traffic

Explore at:
Dataset updated
Feb 22, 2024
Dataset authored and provided by
ThriveRegionalPartnership
Area covered
Description

Georgia_Average_Annual_Daily_Trafffic_2022: Traffic data for selected Georgia road segments between 2020-222. Data obtained from GDOT in 2022 and updated in late 2023. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT. https://www.dot.ga.gov/DS/DataRegional Traffic Counts 2019-2022: This layer shows traffic counts in the greater Chattanooga region compiled by ESRI. Traffic counts are widely used by departments of transportation for highway funding or planning purposes.GaRoad Network Truck 2020: Traffic data for selected Georgia road segments in 2020. Data obtained from GDOT in May 2022. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT. https://www.dot.ga.gov/DS/DataTN Road Network Traffic 2022: Traffic data for selected TN road segments in 2020-2022. Data obtained from TDOT in May 2022 and updated in late 2023. Data attributes include AADT (average annual daily traffic), single-unit truck AADT, combo-unit truck AADT, peak % single-unit AADT, peak % combo-unit AADT.

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