Street and speed limit map as identified by the Department of Public Works.

The FDOT GIS Maximum Speed Limits provides spatial information Maximum Speed Limits on Florida Roadways. It is required for all designated roadways on the SHS and HPMS samples. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 10/11/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/maxspeed.zip

This map provides information on speed limits that are posted on state-maintained roadways in Virginia. Cities and towns set their own speed limits and these are not available to show on the map. Zoom in on the map to display the speed limits. Speed limits exist for all roads however; where this information is not available for mapping, they are not displayed. Most roads where speed limits are not shown are either rural, secondary roads (routes numbered 600 or greater) where a statutory 55 mph speed limit typically applies, or subdivision streets where a statutory 25 mph speed limit usually applies. These statutory speed limits are often are not posted on these roads. Click on any roadway to display the speed limit information.

This feature class identifies the legal speed limit for Portland streets. Not every street segment in the City is included. The dataset includes the speed limits for surface streets where the limit was implemented by an ODOT speed zone order or where a speed limit was authorized by statutes governing speeds in business districts, around schools, along roadways with bicycle or pedestrian improvements, or on non-arterial, residential streets.-- Additional Information: Category: Transportation - Streets Purpose: To identify designated speed limits on Portland streets. Update Frequency: As Needed-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?=DisplayLayer=54340

A. SUMMARY Maximum speed limits per street segment for the City of San Francisco. Speed limits are indicated primarily for streets that have speeds greater than 25 MPH, unless the speed limit has been changed from a higher speed or a speed survey has been conducted to enforce the de facto speed limit of 25 MPH. 25 MPH is the de fact speed limit for most residential and commercial streets, and apply to streets on this map denoted by a 0 MPH label. Alleys narrower than 25 feet can have de facto speed limits of 15 MPH. B. METHODOLOGY Speed limit legislation information is taken from MTAB legislation and in some cases directives from engineers in the 5212 classification. Speed limit implementation information is taken from SSD Shops Reports and then parsed via python code. Implementation for speed limits will specify when signs are put in stating the new speed limits, and the work order that the sign installation was spec'd in. C. UPDATE FREQUENCY Updated quarterly or on an as need basis by request

Line geometry with attributes displaying street speed limits in East Baton Rouge Parish, Louisiana.Metadata

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

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.

This dynamic map service provodes a a linear representation of speed limit changes based on signs in the field or speed zones established by an Official Order.

Here are a few use cases for this project:

1. Traffic Management Applications: Traffic authorities can use the "Speed Limitation" model to monitor highways and city roads for compliance with speed limits. If a vehicle is detected to be exceeding the speed limit, automatic notifications can be sent either to the vehicle's dashboard (in smart cars) or directly to traffic police.

2. Navigation And Map Services: Integrate it into map services like Google Maps, Waze, or in-car navigation systems to alert drivers about the speed limits in real-time, improving road safety and preventing speeding tickets.

3. Autonomous Vehicle Systems: Utilize this model as part of the guidance and regulation systems in self-driving cars. The cars will constantly scan for these signs to adapt their driving speed in real-time, ensuring they adhere to road regulations.

4. Traffic-Related Intelligent Tutoring Systems: Educators can leverage it in driving schools or online driver education programs, teaching new drivers to identify and understand the diverse speed-related traffic signs and abide by them.

5. Research and Studies: Researchers in traffic engineering and road safety can use this model to investigate the impact of different speed limits on traffic flow and accident rates, strengthening their understanding of real-world traffic conditions and proposing efficient road management strategies.

The road characteristics database (WKD) for speeds contains speed limits for all roads in the NWB. At the beginning of 2017, WKD was filled for the entire Netherlands with data supplied by municipalities. From that moment on, the new traffic decisions have been used via the Knowledge and Operation Center for Official Government Publications (KOOP) to detect and process changes in speed limits. The NWB changes faster than the speed limits are supplied by the road authorities or placed in COOP. Algorithms are used to supplement the speed where necessary on short intermediate road sections. As a result, the speed limit is unknown for a few percent. Since 2022, the features Trees, Entrances, Bowl Boundaries, Parking Points, Parking Spaces, Traffic Center, Traffic Types, Road Width, Road Categorization and Road Narrowings have been added to the database as a CSV file. NB: In residential areas where a maximum speed of 30 km per hour applies, or in a residential area, this leads to major deviations from reality. The number of rural roads with a 60 km limit has also increased significantly since 2017. The possible speeds that can be entered are 5, 15, 20, 30, 40, 50, 60, 70, 80, 90, 100, 120, 130 km per hour and unknown. The speeds only apply to roads that are open to car traffic. On cycle paths, footpaths and other roads that are not open to car traffic, the speed is entered as unknown. This also applies to the ferry connections. The file provides variable maximum speeds with a start time and an end time. These apply in particular to motorways. Outside this period with the indicated start time and end time, an alternative speed applies. So, for example, between 6:00 AM and 7:00 PM the speed limit is 100 km per hour and outside of that time the maximum speed is 120 km per hour. The road characteristics database for speeds also contains the recommended speed limits that apply to a specific road section or part thereof.

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

Automated Speed Limit Map Updates Market Outlook

According to our latest research, the global automated speed limit map updates market size reached USD 1.24 billion in 2024, with robust growth fueled by rapid advancements in connected vehicle technologies and intelligent transportation systems. The market is poised to expand at a compound annual growth rate (CAGR) of 15.7% from 2025 to 2033, projecting a value of USD 4.44 billion by 2033. This surge is primarily driven by the increasing demand for real-time, accurate speed limit data to support advanced navigation, autonomous driving, and fleet management solutions, as well as tightening regulatory standards for road safety worldwide.

One of the primary growth factors for the automated speed limit map updates market is the escalating adoption of connected and autonomous vehicles. As automotive manufacturers and technology providers integrate more sophisticated driver-assistance systems, the need for up-to-date, precise speed limit information becomes imperative. Automated speed limit map updates enable vehicles to dynamically adjust to changing road conditions, temporary speed restrictions, and newly implemented traffic regulations. This not only enhances driver safety and compliance but also supports the broader vision of smart mobility and zero-accident roadways. The proliferation of telematics and IoT devices in vehicles further amplifies the demand for seamless, automated map updates, ensuring that navigation and fleet management platforms remain accurate and reliable.

Another significant driver is the increasing focus on regulatory compliance and road safety initiatives by governments and transportation authorities. With the rise in traffic incidents linked to speeding and outdated road information, regulatory bodies are mandating the integration of real-time speed limit data into navigation and fleet management systems. Automated solutions that can promptly update speed limits based on construction zones, weather-related changes, or municipal decisions are becoming essential. This regulatory push is particularly pronounced in regions with high urbanization and complex road networks, where manual updates are insufficient to keep pace with the dynamic traffic environment. As a result, automotive OEMs, fleet operators, and public agencies are investing heavily in automated speed limit map update technologies to ensure compliance and improve public safety outcomes.

The rapid evolution of digital mapping technologies and the integration of artificial intelligence (AI) and machine learning (ML) are also propelling market growth. Modern mapping platforms now leverage AI-driven data collection from multiple sources, such as traffic cameras, satellite imagery, and crowdsourced inputs, to automatically detect and update speed limit changes. These technological advancements not only reduce operational costs and human error but also enable near real-time dissemination of critical speed limit information across vast geographies. The convergence of cloud computing and big data analytics further facilitates scalable, automated solutions that can serve diverse applications, from individual navigation apps to large-scale autonomous vehicle fleets. As digital infrastructure continues to improve, the automated speed limit map updates market is set for sustained expansion.

From a regional perspective, North America currently leads the global market, driven by early adoption of advanced driver-assistance systems (ADAS), strong regulatory frameworks, and the presence of major automotive and technology companies. Europe closely follows, benefiting from stringent road safety regulations and significant investments in smart transportation infrastructure. The Asia Pacific region is emerging as the fastest-growing market, fueled by rapid urbanization, increasing vehicle sales, and government initiatives to modernize transportation systems. Latin America and the Middle East & Africa, while still nascent, are witnessing growing interest as regional governments recognize the benefits of automated speed limit updates for improving road safety and traffic management. Each region presents unique opportunities and challenges, shaping the competitive landscape and growth trajectory of the market.

The data on provincial highway speed limit signs (Category 5 signs) is exported from the Highway Basic Data Database of the Highway Bureau. In addition to CSV format, the bureau also provides the facility information in KMZ format for reference.

This map contains speed limits for all roads in the National Road Database (NWB).

Description from Rijkswaterstaat: "Since 2022, the characteristics Trees, Entrances, Comb Borders, Parking Points, Parking Boxes, Traffic Center, Traffic Types, Road Width, Road Categorization and Road Narrowings have been added to the database as a csv file."

"The possible speeds that can be entered are 5, 15, 20, 30 40, 50, 60, 70, 80, 90, 100, 120, 130 km/h, N/A and unknown. The speeds only apply to roads that are open to car traffic. On cycle paths, footpaths and other roads that are not open to car traffic, the speed is unknown. This also applies to the ferry connections. The file provides variable maximum speeds with a start time and an end time. These apply in particular to motorways. Outside this period with the indicated start time and end time, an alternative speed applies. So, for example, between 6:00 and 19:00, 100 km per hour applies and beyond that, the maximum speed is 120 km per hour.

Traffic decisions, via the Knowledge and Exploitation Centre for Official Publications (KOOP), are used to detect and process changes in speed limits.

Disclaimer:

There are still a number of roads on "unknown" while here actually the maximum speed does not apply (footpaths and cycle paths for example).

The map may contain inaccuracies.Errors can be reported via data@eindhoven.nl.

Source:

Within a tool of the National Road Traffic Data Portal (NDW) we keep track of the speeds. The map that the NDW offers can be viewed via:

To unlock the speeds within our Eindhoven Open Data portal, we use a service from Rijkswaterstaat: https://geo.rijkswaterstaat.nl/arcgis/rest/services/GDR/maximum_speeds_roads/FeatureServer/0

More information and different publication formats of Rijkswaterstaat's data source can be obtained from: https://maps.rijkswaterstaat.nl/dataregister-publication/srv/eng/catalog.search#/metadata/d7df2888-0c0d-40f1-9b35-3c1a01234d01

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.

VT Speed LimitsStewards: Information Technology, Data Owner:

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.

Map-Enhanced Speed Limit Recognition Market Outlook

According to our latest research, the global map-enhanced speed limit recognition market size reached USD 2.3 billion in 2024, reflecting a robust growth trajectory driven by technological advancements and increasing regulatory mandates for vehicle safety. The market is projected to expand at a remarkable CAGR of 16.2% from 2025 to 2033, with the total market value forecasted to surpass USD 9.7 billion by 2033. This growth is primarily fueled by the rapid integration of advanced driver-assistance systems (ADAS) and the rising demand for intelligent transportation solutions across both developed and emerging economies.

A significant growth factor for the map-enhanced speed limit recognition market is the global push for enhanced road safety. Governments and regulatory bodies across several regions are mandating the inclusion of advanced safety features in vehicles, including speed limit recognition systems. These systems not only help drivers adhere to legal speed limits but also play a crucial role in reducing road accidents and fatalities. The increasing stringency of safety regulations, particularly in Europe and North America, is compelling automotive manufacturers to integrate these technologies as standard offerings. Moreover, the rising public awareness about road safety and the growing consumer preference for vehicles equipped with the latest safety features are further accelerating market growth.

Another key driver is the rapid evolution of vehicle connectivity and the proliferation of smart mobility solutions. The integration of high-definition maps, real-time data processing, and AI-powered recognition algorithms has significantly improved the accuracy and reliability of speed limit recognition systems. Automotive OEMs are investing heavily in research and development to enhance the capabilities of these systems, enabling them to function seamlessly in diverse driving environments. The advent of 5G connectivity and the expansion of the Internet of Things (IoT) ecosystem have further bolstered the adoption of map-enhanced speed limit recognition technologies, allowing for real-time updates and dynamic adaptation to changing road conditions.

The growing trend towards autonomous and semi-autonomous vehicles is also playing a pivotal role in shaping the map-enhanced speed limit recognition market. As the automotive industry moves towards higher levels of vehicle autonomy, the need for robust and reliable perception systems becomes paramount. Map-enhanced speed limit recognition, leveraging sensor fusion and advanced mapping technologies, is a critical component in ensuring the safe and efficient operation of autonomous vehicles. The synergy between map-based data and onboard sensors enables vehicles to make informed decisions, even in scenarios where road signs are obscured or absent, thereby enhancing the overall safety and reliability of autonomous driving systems.

From a regional perspective, Europe continues to lead the global market, accounting for the largest share in 2024, followed closely by North America and Asia Pacific. The dominance of Europe can be attributed to stringent regulatory frameworks, high vehicle adoption rates, and the presence of major automotive OEMs actively investing in advanced safety technologies. North America is witnessing substantial growth, driven by increasing consumer demand for advanced driver-assistance features and supportive government initiatives. Meanwhile, the Asia Pacific region is emerging as a high-growth market, propelled by rapid urbanization, expanding automotive production, and rising investments in smart transportation infrastructure.

Component Analysis

The component segment of the map-enhanced speed limit recognition market is categorized into hardware, software, and services, each playing a distinct role in the overall system architecture. Hardware components, including cameras, sensors, and onboard processing units, form the backbone of speed limit re

This dataset contains information relating to ACT Speed Zones.

DATASET DISCLAIMER: This dataset shall be used for general reference only. Because of the complexity in processing to generate this dataset, we cannot be liable for omissions and inaccuracies. Users of this dataset are encouraged to check with related agencies if you have any concerns about the data displayed. Please be aware that new data are added and changed periodically, and data may become out-of-date quickly due to change in business processes and data processing time. TCCS disclaims liability to any person/entity who acts in reliance on the information provided on this dataset. This dataset does not have any legal status, and it may not correspond with the actual speed limit since the date of publication.