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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Major motorways and trunk roads defined by DfT . Last updated: please refer to the LAST_EDIT_DATE field.

Data source: NH Map InsightSME from NH assigned: n/aUpdate cycle information: n/aWhat metric it supports: Context - Transport infrastructure ; Strategic Road Network ; SRNRationale for the metric: Important context

The Strategic Highway Network (STRAHNET) dataset and its geometries was updated on March 27, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The layer represents the Strategic Highway Network (STRAHNET). The STRAHNET is a subset of the National Highway System (NHS) and includes information such as road segments, direction, build date, state codes, functional classification, ownership, and other attributes related to highways in the United States. The provided information outlines the preparation of a layer that represents the National Highway System (NHS) in the context of the HPMS 2020 Geometric network and attribute definition source HPMS 2020. The NHS layer incorporates attributes from HPMS, and the conflation process involves the transfer of State_Code, Year_Record, Route_ID, Begin_Point, End_Point, and F_SYSTEM fields. Calibration of Begin_Point and End_Point is performed based on shape length and sequence for split links. The minimum positional accuracy is specified at a spatial resolution of 1:100,000 or better, although most state-submitted data ranges between 1:5,000 to 1:10,000. The spatial data organization method is described as a vector using the SDTS (Spatial Data Transfer Standard) Point and Vector Object Type with a count of 626,366 objects. The coordinate system is defined in geographic terms with a horizontal datum of D WGS 1984, employing decimal degrees for latitude and longitude. The entity and attribute information is comprehensive, covering various aspects of the NHS and HPMS data. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529838

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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This dataset is refreshed on a weekly basis from the datasets the team works on daily.Last update date: 18 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.

Prior to recreation in StoryMap form, the route strategies documents were static pdfsStoryMapsSeries of story maps: one per route that will contain key statistics, a web map/s to visualise the route and a link to the PDF report, approximately 2- 3 interactive maps showing performance information (e.g. safety, delay etc.) and how it changes over timeBackground to Route StrategiesThe roads we manage play a critical role in enabling businesses to transport products and services, providing access to jobs and suppliers, and facilitating trade and investment across the country. In combination with local roads they also support journeys connecting people and places.Looking to the future, we will embrace the potential for change by taking a long-term view of our network, including influences that could revolutionise transport, road travel, and personal and commercial mobility.Route strategies are one of the key steps of initial research in the development of the Road Investment Strategy (RIS). This is a rolling programme that sets our plan for the strategic road network (SRN) and determines how we secure investment for the work we need to do.We are required to produce route strategies as a condition of our operating licence, to inform future decision making though we recognise that not all aspirations can be funded or delivered.

The National Highway System consists of roadways important to the nation’s economy, defense, and mobility. The National Highway System (NHS) includes the following subsystems of roadways: Interstate - The Eisenhower Interstate System of highways, Other Principal Arterials - highways in rural and urban areas which provide access between an arterial and a major port, airport, public transportation facility, or other intermodal transportation facility, Strategic Highway Network (STRAHNET) - a network of highways which are important to the United States’ strategic defense policy and which provide defense access, continuity and emergency capabilities for defense purposes, Major Strategic Highway Network Connectors - highways which provide access between major military installations and highways which are part of the Strategic Highway Network, Intermodal Connectors - highways providing access between major intermodal facilities and the other four subsystems making up the National Highway System. A specific highway route may be on more than one subsystem.The primary purpose of this map is to serve the FHWA needs in highway planning, policy analysis, visualization of the NHS database and keep track the NHS approval as well as the technical corrections.

NHS as officially accepted by the Council of Ministers, mapping by Transport Canada.

This layer includes Hampton Roads Military and Supporting Sites along DOD's Strategic Highway Network (STRAHNET) from the HRTPO Hampton Roads Military Transportation Needs Study. STRAHNET is network of highways which are important to the United States’ strategic defense policy and which provide defense access, continuity and emergency capabilities for defense purposes. STRAHNET connect over 200 important military installations and ports to the network within the United States.

1st July 2016 Update

WebTRIS Phase 1 is now available and can be accessed at http://webtris.highwaysengland.co.uk

We are in the process of updating the way that traffic flow data is made available to our external users to replace the old TRADS website. The new platform will deliver a more modern experience, utilising Google Maps with count site overlays and bespoke downloadable reporting capabilities. This new service will be referred to as ‘WebTRIS’.

The new development will contain all of the elements users are already familiar with; searching on Site ID’s and reviewing reports based on Site ID’s etc. but will also modernise the look and feel of the product and allow users to select an area of interest by clicking on a map.

Development began in early February 2016 and is expected to be complete in July 2016.

This is a Phase 1 release. A Phase 2 development is planned to take into account user feedback.

On-going updates will be released here with videos showing the product as it grows. There will also be live demonstrations as the product nears go-live and opportunities to take part in User Acceptance Testing and feedback sessions.

We are working hard to improve the level of service that we provide and thank you for your patience while we do so. We will keep you informed on progress with the next update due in May.

This data series provides average journey time, speed and traffic flow information for 15-minute periods since April 2015 on all motorways and 'A' roads managed by Highways England, known as the Strategic Road Network, in England.

Journey times and speeds are estimated using a combination of sources, including Automatic Number Plate Recognition (ANPR) cameras, in-vehicle Global Positioning Systems (GPS) and inductive loops built into the road surface.

Please note that journey times are derived from real vehicle observations and imputed using adjacent time periods or the same time period on different days. Further information is available in 'Field Descriptions' at the bottom of this page.

This data replaces the data previously made available via the Hatris and Trads websites.

Please note that Traffic Flow and Journey Time data prior to April 2015 is still available on the HA Traffic Information (HATRIS) website which can be found at https://www.hatris.co.uk/

OS Open Roads Shapefile containing links pertaining to the Major Road Network, as created by the Department for Transport in 2018.

See this dataset in an Interactive WebMap

If you are looking for the Strategic Road Network, please find this as part of the original, freely available, OS OpenRoads Product

This map displays the National Highway System (NHS) in Washington State. The NHS is comprised of State Highways and Local Agency roads. This dataset is used as a general reference layer for geographic information systems at the Washington State Department of Transportation. The National Highway System consists of roadways important to the nation's economy, defense, and mobility. This web map was created for use in the WSDOT NHS website. If you have any questions about this data, please contact Heath Bright, HPMS/Functional Class Supervisor - heath.bright@wsdot.wa.gov - (360) 570-2370. If you're having trouble viewing these services, please contact our Online Map Support.The National Highway System (NHS) includes the following subsystems of roadways (note that a specific highway route may be on more than one subsystem):Interstate: The Eisenhower Interstate System of highways retains its separate identity within the NHS. Other Principal Arterials: These are highways in rural and urban areas which provide access between an arterial and a major port, airport, public transportation facility, or other intermodal transportation facility. Strategic Highway Network(STRAHNET): This is a network of highways which are important to the United States' strategic defense policy and which provide defense access, continuity and emergency capabilities for defense purposes. Major Strategic Highway Network Connectors: These are highways which provide access between major military installations and highways which are part of the Strategic Highway Network. Intermodal Connectors: These highways provide access between major intermodal facilities and the other four subsystems making up the National Highway System. The National Highway System includes the Interstate Highway System as well as other roads important to the nation's economy, defense, and mobility. The NHS was developed by the Department of Transportation (DOT) in cooperation with the states, local officials, and metropolitan planning organizations (MPOs).

The source codes that support the paper 'Automatic road network selection method considering functional semantic features of roads with graph convolutional networks' published in the International Journal of Geographical Information Science.Abstract: Road network selection plays a key role in map generalization for creating multi-scale road network maps. Existing methods usually determine road importance based on road geometric and topological features, few evaluate road importance from the perspective of road utilization based on human travel data, ignoring the functional values of roads, which leads to a mismatch between the generated results and people’s needs. This paper develops two functional semantic features (i.e., travel path selection probability and regional attractiveness) to measure the functional importance of roads and proposes an automatic road network selection method based on graph convolutional networks (GCN), which models road network selection as a binary classification. Firstly, we create a dual graph representing the source road network and extract road features including six graphical and two functional semantic features. Then, we develop an extended GCN model with connectivity loss for generating multi-scale road networks and propose a refinement strategy based on the road continuity principle to ensure road topology. Experiments demonstrate the proposed model with functional features improves the quality of selection results, particularly for large and medium scale maps. The proposed method outperforms state-of-the-art methods and provides a meaningful attempt for artificial intelligence models empowering cartography.Keywords: road network selection; graph convolutional network; functional features; map generalization; POI data

Global patterns of current and future road infrastructure - Supplementary spatial data

Authors: Johan Meijer, Mark Huijbregts, Kees Schotten, Aafke Schipper

Research paper summary: Georeferenced information on road infrastructure is essential for spatial planning, socio-economic assessments and environmental impact analyses. Yet current global road maps are typically outdated or characterized by spatial bias in coverage. In the Global Roads Inventory Project we gathered, harmonized and integrated nearly 60 geospatial datasets on road infrastructure into a global roads dataset. The resulting dataset covers 222 countries and includes over 21 million km of roads, which is two to three times the total length in the currently best available country-based global roads datasets. We then related total road length per country to country area, population density, GDP and OECD membership, resulting in a regression model with adjusted R2 of 0.90, and found that that the highest road densities are associated with densely populated and wealthier countries. Applying our regression model to future population densities and GDP estimates from the Shared Socioeconomic Pathway (SSP) scenarios, we obtained a tentative estimate of 3.0–4.7 million km additional road length for the year 2050. Large increases in road length were projected for developing nations in some of the world's last remaining wilderness areas, such as the Amazon, the Congo basin and New Guinea. This highlights the need for accurate spatial road datasets to underpin strategic spatial planning in order to reduce the impacts of roads in remaining pristine ecosystems.

Contents: The GRIP dataset consists of global and regional vector datasets in ESRI filegeodatabase and shapefile format, and global raster datasets of road density at a 5 arcminutes resolution (~8x8km). The GRIP dataset is mainly aimed at providing a roads dataset that is easily usable for scientific global environmental and biodiversity modelling projects. The dataset is not suitable for navigation. GRIP4 is based on many different sources (including OpenStreetMap) and to the best of our ability we have verified their public availability, as a criteria in our research. The UNSDI-Transportation datamodel was applied for harmonization of the individual source datasets. GRIP4 is provided under a Creative Commons License (CC-0) and is free to use. The GRIP database and future global road infrastructure scenario projections following the Shared Socioeconomic Pathways (SSPs) are described in the paper by Meijer et al (2018). Due to shapefile file size limitations the global file is only available in ESRI filegeodatabase format.

Regional coding of the other vector datasets in shapefile and ESRI fgdb format:

• Region 1: North America
• Region 2: Central and South America
• Region 3: Africa
• Region 4: Europe
• Region 5: Middle East and Central Asia
• Region 6: South and East Asia
• Region 7: Oceania

Road density raster data:

• Total density, all types combined
• Type 1 density (highways)
• Type 2 density (primary roads)
• Type 3 density (secondary roads)
• Type 4 density (tertiary roads)
• Type 5 density (local roads)

Keyword: global, data, roads, infrastructure, network, global roads inventory project (GRIP), SSP scenarios

This is a polygon dataset of the strategic noise mapping of roads, which were identified as those roads exceeding the flow threshold of 3 million passages per year, in the form of noise contours for the Lden (day, evening, night) period for Dublin and Cork agglomerations and the major roads outside of the agglomerations. The dB value represents the average decibel value during the Lden time.

Any direct comparison of the Round 3 versus Round 2 results should be carefully considered, as changes to the model input datasets used between these rounds may be significant. This may especially apply to the terrain model used, while there may be improved building height data, & improved traffic flow data with fewer assumed flows. There may also be some revisions to the actual road network modelled in Round 3.

The noise maps are the product of assimilating a collection of digital datasets, and over the last 10 years there has been significant improvements to the quality of the digital datasets describing the natural and built environment in Ireland. This has led to the strategic noise models giving much more reliable noise results with much less tendency to over predict the impact.

UPDATE (February 2019): The Regional roads in 26 Local Authorities (LAs) outside of Dublin, and Cork have now been amended by Transport Infrastructure Ireland (TII). The original road maps had included some significant stretches of roads (~20%) that were below the 3 million vehicles movements/annum reporting threshold. These road sections have now been removed and revised Regional road maps have been released by TII.

This TII review process has resulted in an update of the National road map that is reported to the EEA. The EPA has also updated our website to reflect these changes, and we will also look to provide relevant links to the Final LA Noise Action Plans (when completed): http://www.epa.ie/monitoringassessment/noisemapping/

INSPIRE Strategic noise maps. Noise contour map for roads noise in agglomerations – Lden. Published by Environmental Protection Agency. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This is a polygon dataset of the strategic noise mapping of roads, which were identified as those roads exceeding the flow threshold of 3 million passages per year, in the form of noise contours for the Lden (day, evening, night) period for Dublin and Cork agglomerations and the major roads outside of the agglomerations. The dB value represents the average decibel value during the Lden time.

Any direct comparison of the Round 3 versus Round 2 results should be carefully considered, as changes to the model input datasets used between these rounds may be significant. This may especially apply to the terrain model used, while there may be improved building height data, & improved traffic flow data with fewer assumed flows. There may also be some revisions to the actual road network modelled in Round 3.

The noise maps are the product of assimilating a collection of digital datasets, and over the last 10 years there has been significant improvements to the quality of the digital datasets describing the natural and built environment in Ireland. This has led to the strategic noise models giving much more reliable noise results with much less tendency to over predict the impact.

UPDATE (February 2019): The Regional roads in 26 Local Authorities (LAs) outside of Dublin, and Cork have now been amended by Transport Infrastructure Ireland (TII). The original road maps had included some significant stretches of roads (~20%) that were below the 3 million vehicles movements/annum reporting threshold. These road sections have now been removed and revised Regional road maps have been released by TII.

This TII review process has resulted in an update of the National road map that is reported to the EEA. The EPA has also updated our website to reflect these changes, and we will also look to provide relevant links to the Final LA Noise Action Plans (when completed): http://www.epa.ie/monitoringassessment/noisemapping/...

The NHPN is a Geographical Information System (GIS) database that contains line features representing over 450,000 miles of current and planned highways in the United States, including the National Highway System (NHS), the Strategic Highway Network (STRANET), and rural minor arterial. The current NHPN contains a set of data attributes that are suited to analytical modelling of large-scale transportation activities.

© Federal Highway Administration (FHWA) This layer is sourced from maps.bts.dot.gov.

The NHPN is a Geographical Information System (GIS) database that contains line features representing over 450,000 miles of current and planned highways in the United States, including the National Highway System (NHS), the Strategic Highway Network (STRANET), and rural minor arterial. The current NHPN contains a set of data attributes that are suited to analytical modelling of large-scale transportation activities. This dataset is part of the National Transportation Atlas Database (NTAD).

© Federal Highway Administration