An ARC GIS PRO shapefile mapping the turnpike roads in England and Wales for the 18th and early 19th century. The data includes details of the Turnpike Acts, years of operation, the quality of the road and the routes used by Mail coaches. The data forms the basis of the paper "Government, trusts, and the making of better roads in early nineteenth century England & Wales by Rosevear, Bogart & Shaw-Taylor.

This dataset is refreshed on a weekly basis from the datasets the team works on daily.Last update date: 31 July 2025.National Highways Operational Highway Boundary (RedLine) maps out the land belonging to the highway for the whole Strategic Road Network (SRN). It comprises two layers; one being the an outline and another showing the registration status / category of land of land that makes up the boundary. Due to the process involved in creating junctions with local highway authority (LHA) roads, land in this dataset may represent LHA highway (owned by National Highways but the responsibility of the LHA to maintain). Surplus land or land held for future projects does not form part of this dataset.The highway boundary is derived from:Ordnance Survey Mastermap Topography,HM Land Registry National Polygon Service (National Highway titles only), andplots researched and digitised during the course of the RedLine Boundary Project.The boundary is split into categories describing the decisions made for particular plots of land. These categories are as follows:Auto-RedLine category is for plots created from an automated process using Ordnance Survey MasterMap Topography as a base. Land is not registered under National Highways' name. For example, but not limited to, unregistered ‘ancient’ highway vested in Highways England, or bridge carrying highways over a rail line.NH Title within RedLine category is for plots created from Land Registry Cadastral parcels whose proprietor is National Highways or a predecessor. Land in this category is within the highway boundary (audited) or meets a certain threshold by the algorithm.NH Title outside RedLine category is for plots created in the same way as above but these areas are thought to be outside the highway boundary. Where the Confidence is Low, land in this category is yet to be audited. Where the Confidence is High, land in this category has been reviewed and audited as outside our operational boundary.National Highways (Technician) Data category is for plots created by National Highways, digitised land parcels relating to highway land that is not registered, not yet registered or un-registerable.Road in Tunnel category, created using tunnel outlines from Ordnance Survey MasterMap Topography data. These represent tunnels on Highways England’s network. Land is not registered under National Highways' name, but land above the tunnel may be in National Highways’ title. Please refer to the definitive land ownership records held at HM Land Registry.The process attribute details how the decision was made for the particular plot of land. These are as follows:Automated category denotes data produced by an automated process. These areas are yet to be audited by the company.Audited category denotes data that has been audited by the company.Technician Data (Awaiting Audit) category denotes data that was created by National Highways but is yet to be audited and confirmed as final.The confidence attribute details how confident you can be in the decision. This attribute is derived from both the decisions made during the building of the underlying automated dataset as well as whether the section has been researched and/or audited by National Highways staff. These are as follows:High category denotes land that has a high probability of being within the RedLine boundary. These areas typically are audited or are features that are close to or on the highway.Moderate category denotes land that is likely to be within the highway boundary but is subject to change once the area has been audited.Low category denotes land that is less likely to be within the highway boundary. These plots typically represent Highways England registered land that the automated process has marked as outside the highway boundary.Please note that this dataset is indicative only. For queries about this dataset please contact the GIS and Research Team.

Explore the interactive maps showing the average delay and average speed on the Strategic Road Network and local ‘A’ roads in England, in 2022.

On the Strategic Road Network (SRN) for 2022, the average delay is estimated to be 9.3 seconds per vehicle per mile (spvpm), compared to free flow, a 9.4% increase on 2021 and a 2.1% decrease on 2019.

The average speed is estimated to be 58.1 mph, down 1.4% from 2021 and up 0.2% from 2019.

On local ‘A’ roads for 2022, the average delay was estimated to be 45.5 seconds per vehicle per mile compared to free flow, up 2.5% from 2021 and down 2.8% from 2019 (pre-coronavirus)

The average speed is estimated to be 23.7 mph, down 1.7% from 2021 and up 2.2% from 2019 (pre-coronavirus).

Average speeds in 2022 have stabilised towards similar trends observed before the effects of the coronavirus pandemic.

The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As some of these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with other time periods. Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">analysis on the impact of the coronavirus pandemic on road journeys in 2020 is also available. This Storymap contains charts and interactive maps for road journeys in England in 2020.

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DescriptionThe Highway key is a label from OpenStreetMap which aims to map and document any kind of road, street or path. More information on the tag here. LimitationsBear in mind that OpenStreetMap (OSM) is a digital map database of the world built through crowdsourced volunteered geographic information (VGI). Therefore, there is no systematic quality check performed on the data, and the detail, precision and accuracy varies across space. AttributesOBJECTID: Assigned by WWF. Unique identifierhighway: Type of road facility (motorway, trunk, primary, secondary, tertiary)name: Name of the road facilitysource: Source of the Feature (Landsat, Bing, GPS, Yahoo)surface: Type of surface (paved, unpaved, asphalt, ground) oneway: Direction of flow in only one direction (N: No, Y: Yes).maxspeed: Maximum speed allowed (km/h)lanes: Number of traffic lanes for general purpose traffic, also for buses and other specific classes of vehicleservice: Other type of facilities in the road (alley, driveway, parking_aisle)source: Source of the feature (Landsat, Bing)

This dataset contains centreline information regarding roads in Northern Ireland that are adopted and maintained by DfI Roads. Use the ADOPTION_STATUS_NAME column to filter the data and to show current adopted road sections. Note this is a 'live' link and is updated each evening to include any new road sections. A map displaying the adopted roads can be accessed via: https://dfi-ni.maps.arcgis.com/apps/webappviewer/index.html?id=f8a42fc35a3d48788e651a1d47865ce1

Roads in central southern England c.1675, constructed from John Ogilby's strip maps.The .kml file gives a crude preview; please download the shapefiles for discrimination between major routes, minor routes, and speculative spurs.

Two map files in ARC GIS PRO showing the main roads in England and Wales mapped by John Cary ca 1825. All Post roads, turnpike roads and other main roads designated by Cary are mapped as polylines. A substantial umber of the "other roads", judged to be parish roads are mapped.

At Driver Technologies, we specialize in collecting high-quality, highly-anonymized, driving data crowdsourced using our dash cam app. Our Traffic Light Map Video Data is built from the millions of miles of driving data captured and is optimized to be trained for whatever computer vision models you need and enhancing various applications in transportation and safety.

What Makes Our Data Unique? What sets our Traffic Light Map Video Data apart is its comprehensive approach to road object detection. By leveraging advanced computer vision models, we analyze the captured video to identify and classify various road objects encountered during an end user's trip. This includes road signs, pedestrians, vehicles, traffic signs, and road conditions, resulting in rich, annotated datasets that can be used for a range of applications.

How Is the Data Generally Sourced? Our data is sourced directly from users who utilize our dash cam app, which harnesses the smartphone’s camera and sensors to record during a trip. This direct sourcing method ensures that our data is unbiased and represents a wide variety of conditions and environments. The data is not only authentic and reflective of current road conditions but is also abundant in volume, offering millions of miles of recorded trips that cover diverse scenarios.

Primary Use-Cases and Verticals The Traffic Light Map Video Data is tailored for various sectors, particularly those involved in transportation, urban planning, and autonomous vehicle development. Key use cases include:

Training Computer Vision Models: Clients can utilize our annotated data to develop and refine their own computer vision models for applications in autonomous vehicles, ensuring better object detection and decision-making capabilities in complex road environments.

Urban Planning and Infrastructure Development: Our data helps municipalities understand road usage patterns, enabling them to make informed decisions regarding infrastructure improvements, safety measures, and traffic light placement. Our data can also aid in making sure municipalities have an accurate count of signs in their area.

Integration with Our Broader Data Offering The Traffic Light Map Video Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and computer vision models.

In summary, Driver Technologies' Traffic Light Map Video Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Traffic Light Map Video Data with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.

Data indicating the level of noise according to the strategic noise mapping of road sources across England.

• The day-evening-night level (Lden) is a noise indicator for overall annoyance based upon annual average A-weighted long-term sound over 24 hours with a 5 dB(A) penalty for evening noise (19:00-23:00) and a 10 dB(A) penalty for night-time noise (23:00-07:00).
• The 16-hour equivalent continuous level (LAeq,16h) is a noise indicator which describes the annual average steady noise level over the 16-hour daytime period (07:00 to 23:00) which contains the same sound energy as the actual fluctuating sound across the same period.
• The day level (Lday) is a daytime noise indicator based upon annual average A-weighted long-term sound over the daytime period (07:00-19:00) which contains the same sound energy as the actual fluctuating sound across the same period.
• The evening level (Leve) is an evening noise indicator based upon annual average A-weighted long-term sound over the evening period (19:00-23:00) which contains the same sound energy as the actual fluctuating sound across the same period.
• The night level (Lnight) is a night-time noise indicator based upon annual average A-weighted long-term sound over the night period (23:00-07:00) which contains the same sound energy as the actual fluctuating sound across the same period.

Noise levels are modelled on a 10m grid at a receptor height of 4m above ground, with a lower threshold cutoff of 35dB for the Lnight metrics, and 40dB for all other metrics. Data is available for all road traffic sources and also those defined as "major" under the Regulations.

This data is a product of the strategic noise mapping analysis undertaken in 2022 to meet the requirements of the Environmental Noise (England) Regulations 2006 (as amended).

Agreed Routes - Those which can be used for timber haulage without restriction as regulated by the Road Traffic Act 1988. A roads (eg. A9) are classified as Agreed Routes unless covered by one of the other TTG classifications (eg. Consultation Route) For further details please visit http://timbertransportforum.org.uk/Currency:31/08/17Highland TTG31/06/2017Argyll TTGArgyll TTG Management PlansArgyll TTG In Forest Haul RoadsAyrshire TTGAyrshire TTG Management PlansBorders TTGCumbria TTGDumfries Galloway TTGDumfries Galloway TTG Management PlansGrampian TTGNorth East Eng TTGNorth Yorks TTGStirling TTGStirling Tayside Management Plans

These layers digitally represent diversion routes used to manage traffic in response to road closures required across England's Strategic Road Network unplanned events.As part of National Highways' commitment to sharing data, the diversion routes data provides information to help ensure road users are better informed, particularly freight customers, which is why we are communicating the suitability of diversion routes for different vehicles as per customer service standards GG 903 - Customer service standard for diversion routes for unplanned events and GG 907 - Customer service standard for diversion routes for planned works and activities.The dataset consists of the following:Diversion Route: Contains all the diversion routes, and their applicability for different vehicles and link to the closed stretch of the Strategic Road Network that would trigger the diversion route to be implementedSRN Closed Stretch: Contains information about sections of the Strategic Road Network that when closed will lead to a diversion being implementedDiversion Point: Contains all the restrictions along the diversion route, such as height and width restrictions due to low bridges or narrow lanesTo ensure this information remain accurate, the dataset pulls from layers linked to those maintained by National Highways Resilience Planners.For any issues/queries related to the data, please contact: digitallaboperations@nationalhighways.co.ukFor all other issues/queries please contact: GIS@nationalhighways.co.ukThe data is published under an Open Government Licence.

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.

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.

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Data indicating the level of noise according to the strategic noise mapping of road sources within areas with a population of at least 100,000 people (agglomerations) and along major traffic routes. LAeq,16h indicates the annual average noise levels for the 16-hour period between 0700 – 2300. Noise levels are modeled on a 10m grid at a receptor height of 4m above ground, polygons are then produced by merging neighboring cells within the following noise classes: 75.0+dB, 70.0-74.9dB, 65.0-69.9dB, 60.0-64.9dB, 55.0-59.9dB, <54.9dB. This data is a product of the strategic noise mapping analysis undertaken in 2017 to meet the requirements of the Environmental Noise Directive (Directive 2002/49/EC) and the Environmental Noise (England) Regulations 2006 (as amended)

Thanks to OS MasterMap Highways Network with Speed Data, you can also access road speed information through our product. It’s an additional dataset to help you plan logistics and monitor our roads more effectively.

Perhaps you're looking for more data about Great Britain's roads? Or maybe you're studying drive times or comparing vehicle types along routes or the impact of a new development? This could be the product for you.

We have enhanced our Highways Network family of products with these three speed data additions. Each product is supplied with an additional data file which will be either Average Speed, Speed Limits or a combination of both.

SpeedMap is a project with the aim of producing a national speed limit database for the UK and Republic of Ireland which can be used with any digital map. Ten years ago we recognised the need for an accurate map to support innovation in road safety – without being tied to a costly proprietary mapping solution. Our data is sourced from a multitude of datasets and boasts 100% coverage of the UK and RoI road network with industry-leading accuracy >99%. Since supplying the first version to a telematics startup in 2012, SpeedMap has become the number one choice for companies who need speed limit data. Our dataset is used by global mapping providers, delivery companies, utility providers, insurance companies, as well as those providing in-vehicle systems. We make our data accessible, reliable and exploitable for your commercial needs, as well as putting the data in the hands of those responsible for making our roads safer.

Data indicating the level of noise according to the strategic noise mapping of road sources within areas with a population of at least 100,000 people (agglomerations) and along major traffic routes. Lnight indicates night time annual average noise level results in dB, where night is defined as 2300 - 0700. Noise levels are modeled on a 10m grid at a receptor height of 4m above ground, polygons are then produced by merging neighboring cells within the following noise classes: 70.0+ dB, 65.0-69.9 dB, 60.0-64.9 dB, 55.0-59.9 dB, 50-54.9 dB, <49.9 dB This data is a product of the strategic noise mapping analysis undertaken in 2017 to meet the requirements of the Environmental Noise Directive (Directive 2002/49/EC) and the Environmental Noise (England) Regulations 2006 (as amended).

Important Note: This item is in mature support as of November 2021 and will be retired. A NEW VERSION of this item is available for your use. We recommend updating your maps and apps to use the new version.OS Open Roads is a connected road network for Great Britain. It contains all classified roads (such as motorways and A & B roads) as well as officially named unclassified roads. The new product is part of the new OS Open products suite and is designed to be used with other OpenData sets. It’s mapping that can help you question, visualise and share results quickly and clearly.With OS Open Roads you can:Understand the road network at a ‘high level’ with generalised geometry and network connectivity.Identify locations and pin information, such as incident or accident hotspots.Display results in context using OS Open Map – Local mapping.Take an informed overview of a situation along the network to manage it strategically.The currency of this data is 10/2019. The coverage of the map service is GB. The map projection is British National Grid.

Compiled from forest road network data managed by Forestry Civil Engineering. The data relates to forest road classification.. Last updated from Forester Web on 13/12/2024Forest Roads are categorised on the basis of intended usage (as listed below) rather than the specification used in their construction or upgrading. This can mean that, at a particular point in time, a Class A main road or a Class B spur road may have specification features that could limit its use. Class A - Main Roads " Principal timber haulage route on a long-term basis." Constructed to high specification." Maintained to a high standard." Limiting features shown on road map." All year but not all weather.Class B - Spur Roads" Used by timber haulage lorries for specific operations." Full geometric and safety standards for stated use." Specification tailored to suit purpose." Possibility that surfacing not high quality or durable." Long term maintenance minimal." Each usage subject to individual engineering assessment." Limiting features noted for each particular contract.Class C - Other Roads " Roads other than Main or Spur roads." Maintenance dependent on usage." Not normally used by timber haulage lorries." Use by timber haulage lorries subject to the same individual engineering assessment as Class B roads.