Heavy Commercial Annual Average Daily Traffic Locations in Minnesota

HCAADT represents current (most recent) Heavy Commercial Annual Average Daily Traffic on sampled road systems. This information is displayed using the Traffic Count Locs Active feature class as of the annual HPMS freeze in January. Historical HCAADT 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: John Hackett, Traffic Forecasting & Analysis (TFA), http://www.dot.state.mn.us/tda/contacts.html#TFA<br/><br/>Check other metadata records in this package for more information on Heavy Commercial Annual Average Daily Traffic Locations Information.<br/><br/><br/>Link to ESRI Feature Service:<br /><br/><b>Heavy Commercial Annual Average Daily Traffic Locations in Minnesota</b>: <a href="https://webgis.dot.state.mn.us/65agsf1/rest/services/sdw_incdt/HCAADT_LOCATIONS_CURRENT/FeatureServer">Heavy Commercial Annual Average Daily Traffic Locations</a><br /><br/><br/>

Additional Info

Field Value
dsAccessConst None.
dsCurrentRef Year in which the most recent count data was collected
dsMetadataUrl https://resources.gisdata.mn.gov/pub/gdrs/data/pub/us_mn_state_dot/trans_hcaadt_traffic_count_locs/metadata/metadata.html
dsModifiedDate 2023-12-07 00:17:17
dsOriginator Minnesota Department of Transportation
dsPurpose Determine general estimates of location specific heavy commercial annual average daily traffic (HCAADT) on various route systems to meet FHWA annual reporting and assist in Traffic Forecasting. Counts are taken on portions of the system each year so complete coverage for a given jurisdiction is generally accomplished on a two or four year cycle. More information about the Vehicle Classification Program can be found at: http://www.dot.state.mn.us/traffic/data/
gdrsDsGuid {ef3f1259-5bf0-4791-aa05-e191ca450ddd}
spatial {"type":"Polygon","coordinates":[[[-97.508970, 43.192405],[-97.508970, 49.652543], [-89.028990, 49.652543], [-89.028990, 43.192405], [-97.508970, 43.192405]]]}

Dataset extent

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