Max Speed limit values in miles per hour. This data is an extract from the Geospatial Roadway Inventory Databse (GRID), which is TxDOT's system for managing roadway assets in Texas.Note: Extracts from GRID are made on a regular basis and reflect the state of the data at that moment. Assets on routes that are in the process of being edited may be affected.Update Frequency: 1 MonthsSource: Geospatial Roadway Inventory Database (GRID)Security Level: PublicOwned by TxDOT: TrueRelated LinksData Dictionary PDF [Generated 2025/04/24]
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Speed zones are set to enable drivers travelling at a speed limit to safely respond to potential risks in the road environment. This dataset contains data for NSW speed zones that are categorised as: Ordinary Permanent Shared High Pedestrian School Variable Local Traffic Truck & bus Wet Weather School Bus Toll Plaza
Roadway Posted Speed Limit Signs data consists of point feature geometry which represents the geographic location of posted speed limit signs along public roadways in the State of Maryland. PLEASE NOTE: This layer is now deprecated as of September, 2020 and will be removed in September 2021.Data has been replaced with the following https://maryland.maps.arcgis.com/home/item.html?id=7549d74e31df427a82a64ab5a19d74e3#overviewRoadway Posted Speed Limit Signs data is developed as part of the Highway Performance Monitoring System (HPMS) which maintains and reports transportation related information to the Federal Highway Administration (FHWA) on an annual basis. HPMS is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Services Division (DSD). This data is used by various business units throughout MDOT, as well as many other Federal, State and local government agencies. Roadway Posted Speed Limit Signs data is key to understanding the location of posted speed limit signs throughout the State of Maryland. Roadway Posted Speed Limit Signs data is updated and published on an annual basis for the prior year. This data is for the year 2017.For additional information, contact the MDOT SHA Geospatial Technologies Email: GIS@mdot.state.md.us For additional information related to the Maryland Department of Transportation (MDOT) Website: https://www.mdot.maryland.gov/ For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA) Website: https://roads.maryland.gov/Home.aspx Data Legal Disclaimer: The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Link:https://geodata.md.gov/imap/rest/services/Transportation/MD_RoadwayPostedSpeedLimits/FeatureServer/0
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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
Web Mapping Application containing all layers from the Office of the State Traffic Administration that enables the user to visually review, search, and query OSTA data, including; State, Local, and School Zone Speed Limits, Major Traffic Generators at defined points within the approval process, No Thru Truck designations, and Parkway Restrictions on height, width, and weight.
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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
This layer identifies routes for bicyclists based on their relative experience. In 2015, the Stark County Regional Planning Commission (SCRPC) used available transportation data with input from the Stark County Bicycle Club to create a countywide map for bicyclists. SCRPC heavily weighted traffic volume, speed limit, and the number of lanes to determine which routes for more or less suitable for different levels of biking experience. Their formula also considered things like turn lanes and dedicated bike lanes. The end product was dubbed Ride Stark, and was used to create disputable paper maps, as well as an interactive online map that can be viewed here.For off-limit roadways for bicyclists in Stark County, see Ride Stark - Off-Limit Roadways.For on-road bike lanes in Stark County, see Ride Stark - Dedicated Bike Lanes.
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This is an extract from the State Highway Log that shows legal speed limits along State Routes. State Route identifiers and locations based on State Route Mileposts and Accumulated Route Mileage are also included for geographic reference and for use with the Washington State Department of Transportation's 24k and 500k Linear Referencing Systems. Please direct questions about this dataset to: TransportationGISDataSteward@wsdot.wa.gov.
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Speed Signs is a spatial dataset (point) that shows the location of every Speed Limit sign across Victoria including advisory 'Speed Limit Ahead' signs. The data includes attributes such as Road Name, Sign Size, Type, Speed Value, Bearing and Direction. Variable speed signs display the alternative speed limit during the times that limit is active. This is captured in the variable time and day fields in the dataset. A standard ('static') speed sign with the prevailing speed limit is provided at the end of the zone which serves to end the variable zone, or act as a reminder sign for times when the variable speed limit isn't active. Data Quality Whilst every effort has been made to ensure this information is up-to-date, there may be instances where signs are not yet recorded in this system. Disclaimer No claim is made as to the accuracy or currency of the content on this site at any time. This data is provided on the basis that users undertake responsibility for assessing the relevance and accuracy of its content. The Victorian Government and Department of Transport and Planning accept no liability to any person or group for the data or advice (or the use of such data or advice) which is provided or incorporated into it by reference.
This is 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 speeds Yellow (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 image can be requested for the current time and any time in the future. A map image for a future request might be used for planning purposes. The map layer 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.
Explore the interactive maps showing the average delay and average speed on the Strategic Road Network and Local ‘A’ Roads in England, in 2020.
Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">Analysis on the impact of the Coronavirus (COVID-19) pandemic on the road journeys is also available. This story map contains charts and interactive maps for road journeys in England.
On the Strategic Road Network (SRN) for 2020, the average delay is estimated to be 6.7 seconds per vehicle per mile compared to speed limits travel times, a 29.5% decrease compared to 2019.
The average speed is estimated to be 61.8mph, 5.1% up on 2019.
In 2020, on average 42.1% of additional time was needed compared to speed limits travel times, on individual road sections of the SRN to ensure on time arrival. This is down 25.2 percentage points compared to 2019, so on average a lower proportion of additional time is required.
On local ‘A’ roads for 2020, the average delay is estimated to be 33.9 seconds per vehicle per mile compared to free flow travel times. This is a decrease of 22.8% on 2019.
The average speed is estimated to be 27.3 mph. This is an increase of 8.2% on 2019.
Please note a break in the statistical time series for local ‘A’ roads travel times has been highlighted beginning January 2019.
Please note that figures for the SRN and local ‘A’ roads are not directly comparable.
The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. While values had previously been moving towards their pre-lockdown levels, this trend appears to have reversed in the months following September 2020.
Email mailto:congestion.stats@dft.gov.uk">congestion.stats@dft.gov.uk
SRN and local 'A' roads travel time measures 020 7944 3095
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Eugene street lines and descriptive attributes map service extending out to 1 mile beyond UGB, categorized by speed limit.
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Speed limit information for most of Queensland's roads. Includes state and locally controlled roads. Point-in-time data as per date of collection in dataset.
On the Strategic Road Network (SRN) for the year ending March 2021, the average delay is estimated to be 5.9 seconds per vehicle per mile compared to speed limits travel times, a 36.6% decrease compared to the year ending March 2020.
The average speed is estimated to be 62.6mph, 6.3% up on the year ending March 2020.
In the year ending March 2021, on average 34.1% of additional time was needed compared to speed limits travel times, on individual road sections of the SRN to ensure on time arrival. This is down 32.2 percentage points compared to the year ending March 2020, so on average a lower proportion of additional time is required.
On local ‘A’ roads for the year ending March 2021, the average delay is estimated to be 32.0 seconds per vehicle per mile compared to free flow travel times. This is a decrease of 26.8% on March 2020.
The average speed is estimated to be 27.8 mph. This is an increase of 9.9% relative to the year ending March 2020.
Please note that figures for the SRN and local ‘A’ roads are not directly comparable.
The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. The congestion metrics remain below the anticipated levels for March 2021.
Interactive maps showing the annual average delay and average speed on the http://bit.ly/SRN_Congestion_2020" class="govuk-link">Strategic Road Network and http://bit.ly/LocalA_Congestion_2020" class="govuk-link">local ‘A’ roads in England, in 2020 are available.
Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">analysis on the impact of the coronavirus (COVID-19) pandemic on the road journeys is also available. This story map contains charts and interactive maps for road journeys in England in 2020.
Road congestion and travel times
Email mailto:congestion.stats@dft.gov.uk">congestion.stats@dft.gov.uk
Media enquiries 0300 7777 878
This map features near real-time traffic information for different countries in Africa, designed for a night time display. 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.
This dataset comprises road centerlines for all roads in San Diego County. Road centerline information is collected from recorded documents (subdivision and parcel maps) and information provided by local jurisidictions (Cities in San Diego County, County of San Diego). Road names and address ranges are as designated by the official address coordinator for each jurisidcition. Jurisdictional information is created from spatial overlays with other data layers (e.g. Jurisdiction, Census Tract).The layer contains both public and private roads. Not all roads are shown on official, recorded documents. Centerlines may be included for dedicated public roads even if they have not been constructed. Public road names are the official names as maintained by the addressing authority for the jurisdiction in which the road is located. Official road names may not match the common or local name used to identify the road (e.g. State Route 94 is the official name of certain road segments commonly referred to as Campo Road).Private roads are either named or unnamed. Named private roads are as shown on official recorded documents or as directed by the addressing authority for the jurisdiction in which the road is located. Unnamed private roads are included where requested by the local jurisidiction or by SanGIS JPA members (primarily emergency response dispatch agencies). Roads are comprised of road segments that are individually identified by a unique, and persistent, ID (ROADSEGID). Roads segments are terminated where they intersect with each other, at jurisdictional boundaries (i.e. city limits), certain census tract and law beat boundaries, at locations where road names change, and at other locations as required by SanGIS JPA members. Each road segment terminates at an intersection point that can be found in the ROADS_INTERSECTION layer.Road centerlines do not necessarily follow the centerline of dedicated rights-of-way (ROW). Centerlines are adjusted as needed to fit the actual, constructed roadway. However, many road centerline segments are created intially based on record documents prior to construction and may not have been updated to meet as-built locations. Please notify SanGIS if the actual location differs from that shown. See the SanGIS website for contact information and reporting problems (http://www.sangis.org/contact/problem.html).Note, the road speeds in this layer are based on road segment class and were published as part of an agreement between San Diego Fire-Rescue, the San Diego County Sheriff's Department, and SanGIS. The average speed is based on heavy fire vehicles and may not represent the posted speed limit.
Geospatial data about City of Dallas, Texas Speed Limits. Export to CAD, GIS, PDF, CSV and access via API.
This layer identifies routes that have been identified as explicitly off-limits to bicyclists within Stark County, Ohio.In 2015, the Stark County Regional Planning Commission (SCRPC) used available transportation data with input from the Stark County Bicycle Club to create a countywide map for bicyclists. SCRPC heavily weighted traffic volume, speed limit, and the number of lanes to determine which routes for more or less suitable for different levels of biking experience. Their formula also considered things like turn lanes and dedicated bike lanes. The end product was dubbed Ride Stark, and was used to create disputable paper maps, as well as an interactive online map that can be viewed here.For the level of difficulty for routes in Stark County, see Ride Stark - Level of Difficulty.For on-road bike lanes in Stark County, see Ride Stark - Dedicated Bike Lanes.
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The map layers in this service provide color-coded maps of the traffic conditions you can expect for the present time (the default). The map shows present traffic as a blend of live and typical information. Live speeds are used wherever available and are established from real-time sensor readings. Typical speeds come from a record of average speeds, which are collected over several weeks within the last year or so. Layers also show current incident locations where available. By changing the map time, the service can also provide past and future conditions. Live readings from sensors are saved for 12 hours, so setting the map time back within 12 hours allows you to see a actual recorded traffic speeds, supplemented with typical averages by default. You can choose to turn off the average speeds and see only the recorded live traffic speeds for any time within the 12-hour window. Predictive traffic conditions are shown for any time in the future.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. 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.Data sourceEsri’s typical speed records and 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.Data coverageThe 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. Look at the coverage map to learn whether a country currently supports traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, visit the directions and routing documentation and the ArcGIS Help.SymbologyTraffic 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%To view live traffic only—that is, excluding typical traffic conditions—enable the Live Traffic layer and disable the Traffic layer. (You can find these layers under World/Traffic > [region] > [region] Traffic). To view more comprehensive traffic information that includes live and typical conditions, disable the Live Traffic layer and enable the Traffic layer.
Welcome to the Spokane Regional Bike Map! SRTC and local jurisdictions have joined together to share local bike routes and infrastructure.By panning and zooming to different areas of the map, users can see the array of bicycle facilities available throughout the region.By clicking on either a Line or Point feature on the map such as the various bike routes, trail-heads, bike shops, park and ride locations, and other facilities you can view a pop-up with more information as well as additional links. Among the line attributes included are the posted speed limit, slope/steepness percentages and length in miles of each segment to assist you with determining the safety of the route you choose.The facilities displayed on this map are based on the best data available. The facilities are updated after each yearly construction season. The information in this map will continue to be updated as facilities are added or modified and as staff time allows throughout the year.Disclaimer: This map is not intended to be an exact representation of routes or an indication of the conditions the bicyclist may encounter. The bicyclist assumes the risks encountered and is advised to ride safely, use good judgment, and obey traffic laws on all routes, regardless of their designation on this map.
Max Speed limit values in miles per hour. This data is an extract from the Geospatial Roadway Inventory Databse (GRID), which is TxDOT's system for managing roadway assets in Texas.Note: Extracts from GRID are made on a regular basis and reflect the state of the data at that moment. Assets on routes that are in the process of being edited may be affected.Update Frequency: 1 MonthsSource: Geospatial Roadway Inventory Database (GRID)Security Level: PublicOwned by TxDOT: TrueRelated LinksData Dictionary PDF [Generated 2025/04/24]