The data set includes specifications about street signs in the City of Champaign. The data set covers signs owned by the city, IDOT, Champaign township, small selection of private street name signs and MTD.

Includes signs installed and maintained by the Seattle Department of Transportation within the public right of way. | Attribute Information: https://www.seattle.gov/Documents/Departments/SDOT/GIS/Street_Signs_OD.pdf | Data Confidence: Medium | Data Confidence Source: 2015 SDOT Asset Management, Status and Condition Report | Update Cycle: Weekly| Contact Email: DOT_IT_GIS@seattle.gov --- Signs by Category (Common SDOT queries of signs and data downloads) | Regulatory Sign Data: CATEGORY LIKE 'REG%'| No Parking Sign Data: CATEGORY IN ('PNP', 'PNS','PPEAK')| Parking Regulatory Sign Data: CATEGORY IN ('P1530','P1H','PPP','PR','PRZ','PTIML','PINST','PCARPL')| Parking Zones Sign Data: CATEGORY IN ('PBLO','PBZ','PCVL','PDIS','PLU','PPL','PSCH','PTRKL','PZONE')| Street Name Sign Data: CATEGORY = 'SNS'| Pay Station Sign Data:CATEGORY = 'PS'| Guide-Bike/Ped Sign Data: CATEGORY = 'GBP'| Guide Sign Data: CATEGORY = 'GUIDE'| Warning Crosswalk Sign Data: CATEGORY = 'WARNCW'| Information Sign Data: CATEGORY = 'INFOR'

Please click here to view the Data Dictionary, a description of the fields in this table.Feature layer depicting street signs within the City of Scottsdale.

The City of Seattle Transportation GIS Datasets | https://data-seattlecitygis.opendata.arcgis.com/datasets?t=transportation | Lifecycle status: Production | Purpose: to enable open access to SDOT GIS data. This website includes over 60 transportation-related GIS datasets from categories such as parking, transit, pedestrian, bicycle, and roadway assets. | PDDL: https://opendatacommons.org/licenses/pddl/

| The City of Seattle makes no representation or warranty as to its accuracy. The City of Seattle has created this service for our GIS Open Data website. We do reserve the right to alter, suspend, re-host, or retire this service at any time and without notice.

| Datasets: 2007 Traffic Flow Counts, 2008 Traffic Flow Counts, 2009 Traffic Flow Counts, 2010 Traffic Flow Counts, 2011 Traffic Flow Counts, 2012 Traffic Flow Counts, 2013 Traffic Flow Counts, 2014 Traffic Flow Counts, 2015 Traffic Flow Counts, 2016 Traffic Flow Counts, 2017 Traffic Flow Counts, 2018 Traffic Flow Counts, Areaways, Bike Racks, Blockface, Bridges, Channelization File Geodatabase, Collisions, Crash Cushions, Curb Ramps, dotMaps Active Projects, Dynamic Message Signs, Existing Bike Facilities, Freight Network, Greater Downtown Alleys, Guardrails, High Impact Areas, Intersections, Marked Crosswalks, One-Way Streets, Paid Area Curbspaces, Pavement Moratoriums, Pay Stations, Peak Hour Parking Restrictions, Planned Bike Facilities, Public Garages or Parking Lots, Radar Speed Signs, Restricted Parking Zone (RPZ) Program, Retaining Walls, SDOT Capital Projects Input, Seattle On Street Paid Parking-Daytime Rates, Seattle On Street Paid Parking-Evening Rates, Seattle On Street Paid Parking-Morning Rates, Seattle Streets, SidewalkObservations, Sidewalks, Snow Ice Routes, Stairways, Street Design Concept Plans, Street Ends (Shoreline), Street Furnishings, Street Signs, Street Use Permits Use Addresses, Streetcar Lines, Streetcar Stations, Traffic Beacons, Traffic Cameras, Traffic Circles, Traffic Detectors, Traffic Lanes, Traffic Signals, Transit Classification, Trees.

Web map displaying street lights and Manual of Uniform Traffic Control Devices (MUTCD) in East Baton Rouge Parish, Louisiana. The source data was collected by Fugro in 2012.

Point geometry with attributes displaying the location of Manual on Uniform Traffic Control Devices (MUTCD) street sign locations in East Baton Rouge Parish, Louisiana. The data is derived from a 2012 field survey conducted by Fugro as part of a contract with the Louisiana Department of Transportation and Development. Metadata

Geospatial data about Santa Cruz County, Arizona Road Signs. Export to CAD, GIS, PDF, CSV and access via API.

This dataset will be moving! The City is working on a new Open Data Portal for GIS data. This dataset will soon be available at https://data-seattlecitygis.opendata.arcgis.com/. We apologize for any inconvenience, but this new platform will allow us to regularly update our data and provided better tools for our spatial data. https://gisrevprxy.seattle.gov/arcgis/rest/services/SDOT_EXT/DSG_datasharing/MapServer/26

Feature layer containing authoritative highway sign points for Sioux Falls, South Dakota.

Traffic sign inventory.

Geospatial data about City of Alliance, Ohio Traffic Signs. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about City of Detroit, Michigan Traffic Signs. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Jefferson County, Kentucky Traffic Signs. Export to CAD, GIS, PDF, CSV and access via API.

Traffic signs are placed to provide roadway users information. They include things such as stop, yield, street names and specialty signs, such as adopt-a-road signs.

Esri AGOL Hosted View Feature Layer which provides access to the MDOT SHA Scenic Byways Sign Inventory.MDOT SHA Scenic Byways Sign Inventory data consists of point geometric features which represent the geographic locations of scenic byways signs along MDOT SHA-maintained roadways throughout the State of Maryland. Roadway Signs that share a sign support structure will be represented as stacked geometry.MDOT SHA Roadway Sign Inventory data is owned by the MDOT SHA Office of Traffic & Safety (OOTS). This data is currently updated on an annual basis. This is the latest version of the data, which was last updated in November 2019 (11/04/2019).Last Updated: November 2019 (11/04/2019)MDOT SHA Roadway Sign Inventory data is published on ArcGIS Online for Maryland as a publicly available Hosted Feature Layer with Non-Restricted Access. Download / Export of the data is available in a variety of formats.For additional information, contact MDOT SHA Geospatial Technologies:Email: GIS@mdot.maryland.gov

Esri AGOL Hosted Feature Layer view which provides access to the MDOT SHA Roadway Sign Inventory (Lane Reduction Signage) data. This is a subset of the MDOT SHA Roadway Sign Inventory.MDOT SHA Roadway Sign Inventory data consists of point geometric features which represent the geographic locations of signs along MDOT SHA maintained roadways throughout the State of Maryland. Roadway Signs that share a sign support structure will be represented as stacked geometry.MDOT SHA Roadway Sign Inventory data is owned by the MDOT SHA Office of Traffic & Safety (OOTS). This data is currently updated on an annual basis. This is the latest version of the data, which was last updated in November 2019 (11/04/2019).Last Updated: November 2019 (11/04/2019)MDOT SHA Roadway Sign Inventory data is published on ArcGIS Online for Maryland as a publicly available Hosted Feature Layer with Non-Restricted Access. Download / Export of the data is available in a variety of formats.For additional information, contact MDOT SHA Geospatial Technologies:GIS@mdot.maryland.gov

description: MILE_MARKERS_SYSTEM1_INDOT_IN.SHP is a point shapefile that contains locations of all mile-marker Reference Post point Inventory for roads in Indiana, in a geospatial point format. The data were derived from pre-existing INDOT basemaps and databases. Data were provided by personnel of Indiana GIS Department of Transportation (INDOT), Road Inventory. The source data provided by INDOT was an ESRI point feature class (in a file geodataase) named "MILE_MARKERS." MILE_MARKERS_SYSTEM1_INDOT_IN.SHP is attributed with route numbers, and mile-marker post numbers. On November 8, 2012 mile-markers for the extension of Interstate 69 (I-69) were added to these data. Each Reference Post point Inventory is placed as to Position, Measure, and by Reference Post Name. The posts are "names" for known spots on the road. The names are sequentially numbered along the road. The Reference Post point Inventory is Dated as of 2006-2015.; abstract: MILE_MARKERS_SYSTEM1_INDOT_IN.SHP is a point shapefile that contains locations of all mile-marker Reference Post point Inventory for roads in Indiana, in a geospatial point format. The data were derived from pre-existing INDOT basemaps and databases. Data were provided by personnel of Indiana GIS Department of Transportation (INDOT), Road Inventory. The source data provided by INDOT was an ESRI point feature class (in a file geodataase) named "MILE_MARKERS." MILE_MARKERS_SYSTEM1_INDOT_IN.SHP is attributed with route numbers, and mile-marker post numbers. On November 8, 2012 mile-markers for the extension of Interstate 69 (I-69) were added to these data. Each Reference Post point Inventory is placed as to Position, Measure, and by Reference Post Name. The posts are "names" for known spots on the road. The names are sequentially numbered along the road. The Reference Post point Inventory is Dated as of 2006-2015.

Esri ArcGIS Online (AGOL) Hosted, View Feature Layer which provides access to the MDOT SHA Roadway Posted Speed Limit Signs data product.MDOT SHA Roadway Posted Speed Limit Signs data consists of point geometric features which represent the geographic locations of posted speed limit signs along MDOT SHA-maintained roadways throughout the State of Maryland. This layer is a hosted, view layer showing only Posted Speed Limit signage from the comprehensive MDOT SHA Roadway Sign Inventory. Roadway signs that share a sign support structure will be represented as stacked geometry.MDOT SHA Roadway Sign Inventory data is owned by the MDOT SHA Office of Traffic & Safety (OOTS). This data is currently updated on an annual basis. This is the latest version of the data, which was last updated in November 2019 (11/04/2019).MDOT SHA Roadway Sign Inventory data is published on ArcGIS Online for Maryland as a publicly available Hosted Feature Layer with Non-Restricted Access. Download / Export of the data is available in a variety of formats.For additional information, contact MDOT SHA OIT Enterprise Information Services:GIS@mdot.maryland.gov

Geospatial data about Travis County, Texas Road Signs. Export to CAD, GIS, PDF, CSV and access via API.

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AI-Assisted Data Mapping Pipeline AI models trained on millions of images are used to predict traffic signs, road markings , lanes for better and faster data processing

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