The North American Roads dataset was compiled on October 27, 2020 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset contains geospatial information regarding major roadways in North America. On March 31, 2025, the errant records with a value of 2 in the "NHS" field were corrected to have a value of 7 (Other NHS). The data set covers the 48 contiguous United States plus the District of Columbia, Alaska, Hawaii, Canada and Mexico. The nominal scale of the data set is 1:100,000. The data within the North American Roads layer is a compilation of data from Natural Resources Canada, USDOT’s Federal Highway Administration, and the Mexican Transportation Institute. North American Roads is a digital single-line representation of major roads and highways for Canada, the United States, and Mexico with consistent definitions by road class, jurisdiction, lane counts, speed limits and surface type.

The North American Roads geospatial dataset provides a digital single-line representation of major roads and highways for Canada, the United States, and Mexico. The North American Roads highway network has a number of intended uses including building national and regional-level maps where major highways and arterials are an important feature, national and regional transport corridor planning, national/regional traffic analyses including the routing of freight and passenger traffic flows within and between countries, and traffic simulations based on various disruption/diversion scenarios.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads.

This map presents transportation data, including highways, roads, railroads, and airports for the world.

The map was developed by Esri using Esri highway data; Garmin basemap layers; HERE street data for North America, Europe, Australia, New Zealand, South America and Central America, India, most of the Middle East and Asia, and select countries in Africa. Data for Pacific Island nations and the remaining countries of Africa was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view.

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

This feature layer provides access to OpenStreetMap (OSM) highways data for North America, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM line (way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes highway features defined as a query against the hosted feature layer (i.e. highway is not blank).In OSM, a highway describes any kind of motorway, road, street or path. These features are identified with a highway tag. There are hundreds of different tag values for highway used in the OSM database. In this feature layer, unique symbols are used for several of the most popular highway types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:20k scale) to see the highway features display. You can click on a feature to get the name of the highway (if available). The name of the highway will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this highway layer displaying just one or two highway types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. highway is path), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. cycleway and pedestrian) that are ready to use, but not for every type of highway.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadística Geografía e Informática), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Co-operation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries both for visualization and download. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data. The North American Atlas - Roads data set shows the roads of North America at 1:10,000,000 scale. The roads included in this data set are either those that connect major centres of population or selected frontier roads. Roads under construction are not shown. There are three road classes: Major roads, which are divided, multi-lane, limited access highways; Secondary roads, which are all roads that do not meet the definition of major roads; and Ferries, which are major ferry links which run either year round or through periods when ice conditions permit. This data set was produced using digital files supplied by Natural Resources Canada, Instituto Nacional de Estadística Geografía e Informática, and the U.S. Geological Survey.

Areas that are within 10 minutes of an exit are emphasized on this map, to give an indication of how accessible neighborhoods are by highway. The colors represent 1, 3, 5 and 10 minute increments from the exits, based on posted exit speeds and local road speeds in ideal conditions.

Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a map that shows the network of roads in three classes (national and major provincial roads, other provincial roads and frontier roads) with each class subdivided based on width and type of surface. The map also shows major ferry routes and transport nodes, and settled regions using three population density classes.

This worldwide street map presents highway-level data for the world. Street-level data includes the United States; much of Canada; Mexico; Europe; Japan; Australia and New Zealand; India; South America and Central America; Africa; and most of the Middle East. This comprehensive street map includes highways, major roads, minor roads, one-way arrow indicators, railways, water features, administrative boundaries, cities, parks, and landmarks, overlaid on shaded relief imagery for added context. The map also includes building footprints for selected areas. Coverage is provided down to ~1:4k with ~1:1k and ~1:2k data available in select urban areas. The street map was developed by Esri using Esri basemap data, DeLorme basemap layers, U.S. Geological Survey (USGS) elevation data, Intact Forest Landscape (IFL) data for the world; HERE data for Europe, Australia and New Zealand, North America, South America and Central America, Africa, and most of the Middle East; OpenStreetMap contributors for select countries in Africa; MapmyIndia data in India; and select data from the GIS user community. For more information on this map, including the terms of use, visit us online at http://goto.arcgisonline.com/maps/World_Street_Map

Contained within the Atlas of Canada's Reference Map Series, 1961 to 2010, is the 2000 version of a regularly-updated map of the National Atlas of Canada Base Map Series and shows North America at a scale of 1: 10 000 000. The map is a general reference map giving detailed coverage of populated places, transportation routes and the drainage network. Land areas are coloured to represent individual countries and dependencies, whereas offshore areas are coloured to show bathymetry. The map sheet has two inset maps: one is an inset for Hawaii, also at 1: 10 000 000; the second is a 1: 53 000 000 inset of North America showing relief, and noting significant mountain elevations. There is also a table of road mileages between major cities. Only a French version of this map is available.

Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

(Link to Metadata) EmergencyE911_RDS was originally derived from RDSnn (now called TransRoad_RDS). "Zero-length ranges" in the ROADS layer pertain to grand-fathered towns that have not yet provided the Enhanced 9-1-1 Board road segment range information. RDSnn was originally developed using a combination of paper and RC Kodak RF 5000 orthophotos (visual image interpretation and manual digitizing of centerlines). Road attributes (RTNO and CLASS) were taken from the official VT Agency of Transportation (VTrans) highway maps. New roads not appearing on the photos were digitized with locations approximated from the VTrans highway maps. State Forest maps were used to determine both location and attributes of state forest roads. Some data updates have used RF 2500 or RF 1250 orthophotos and GPS, or other means for adding new roads and improving road locations. The Enhanced E911 program added new roads from GPS and orthos between 1996-1998. Also added road name and address geocoding. VCGI PROCESSING (Tiling and Added items); E911 provides the EmergencyE911_RDS data to VCGI in a statewide format. It lacks FIPS6 coding, making it difficult to extract data on the basis of town/county boundaries. As a result, VCGI has added FIPS6 to the attribute table. This field was originally populated by extracting MCODE value from RDNAME and relating to TBPOLY.PAT to bring over matching MCODE values. FIPS6 problems along the interstates and "Gores & Grants" in the Northeast Kingdom, were corrected. All features with an MCODE equal to 200 or 579 were assigned a FIPS6 equal to 0. The center point of these arcs were then intersected with BoundaryTown_TBHASH to assign a FIPS6 value. This information was then transfered back into the RDS.AAT file via a relate. A relate was established between the ROADNAMES.DBF file (road name lookup table) and the RDS.AAT file. The RDFLNAME attribute was populated by transfering the NAME value in the ROADNAMES.DBF table. The RDFLNAME item was then parsed into SUF.DIR, STREET.NAME, STREET.TYPE, and PRE.DIR, making addressing matching functions a little easier. See the "VT Road Centerline Data FAQ" for more information about TransRoad_RDS and EmergencyE911_RDS. https://vcgi.vermont.gov/techres/?page=./white_papers/default_content.cfmField Descriptions:OBJECTID: Internal feature number, automatically generated by Esri software.SEGMENTID: Unique segment ID.ARCID: Arc identifier, unique statewide. The ARCID is a unique identifier for every ARC in the EmergencyE911_RDS data layer.PD: Prefix Direction, previously name PRE.DIR.PT: Prefix Type.SN: Street Name. Previously named STREET.ST: Street Type.SD: Suffix Direction, i.e., W for West, E for East, etc.GEONAMEID: Unique ID for each road name.PRIMARYNAME: Primary name.ALIAS1: Alternate road name 1.ALIAS2: Alternate road name 2.ALIAS3: Alternate road name 3.ALIAS4: Alternate road name 4.ALIAS5: Alternate road name 5.COMMENTS: Free text field for miscellaneous comments.ONEWAY: One-way street. Uses the Oneway domain*.NO_MSAG:MCODE: Municipal code.LESN: Left side of road Emergency Service Number.RESN: Right side of road Emergency Service Number.LTWN: Left side of road town.RTWN: Right side of road town.LLO_A: Low address for left side of road.RLO_A: Low address for right side of road.LHI_A: High address for left side of road.RHI_A: High address for right side of road.LZIP: Left side of road zip code.RZIP: Right side of road zip code.LLO_TRLO_TLHI_TRHI_TRTNAME: Route name.RTNUMBER: Route number.HWYSIGN: Highway sign.RPCCLASSAOTCLASS: Agency of Transportation class. Uses AOTClass domain**.ARCMILES: ESRI ArcGIS miles.AOTMILES: Agency of Transportation miles.AOTMILES_CALC:UPDACT:SCENICHWY: Scenic highway.SCENICBYWAY: Scenic byway.FORMER_RTNAME: Former route name.PROVISIONALYEAR: Provisional year.ANCIENTROADYEAR: Ancient road year.TRUCKROUTE: Truck route.CERTYEAR:MAPYEAR:UPDATEDATE: Update date.GPSUPDATE: Uses GPSUpdate domain***.GlobalID: GlobalID.STATE: State.GAP: Gap.GAPMILES: Gap miles.GAPSTREETID: Gap street ID.FIPS8:FAID_S:RTNUMBER_N:LCOUNTY:RCOUNTY:PRIMARYNAME1:SOURCEOFDATA: Source of data.COUNTRY: Country.PARITYLEFT:PARITYRIGHT:LFIPS:RFIPS:LSTATE:RSTATE:LESZ:RESZ:SPEED_SOURCE: Speed source.SPEEDLIMIT: Speed limit.MILES: Miles.MINUTES: Minutes.Shape: Feature geometry.Shape_Length: Length of feature in internal units. Automatically computed by Esri software.*Oneway Domain:N: NoY: Yes - Direction of arcX: Yes - Opposite direction of arc**AOTClass Domain:1: Town Highway Class 1 - undivided2: Town Highway Class 2 - undivided3: Town Highway Class 3 - undivided4: Town Highway Class 4 - undivided5: State Forest Highway6: National Forest Highway7: Legal Trail. Legal Trail Mileage Approved by Selectboard after the enactment of Act 178 (July 1, 2006). Due to the introduction of Act 178, the Mapping Unit needed to differentiate between officially accepted and designated legal trail versus trails that had traditionally been shown on the maps. Towns have until 2015 to map all Class 1-4 and Legal Trails, based on new changes in VSA Title 19.8: Private Road - No Show. Private road, but not for display on local maps. Some municipalities may prefer not to show certain private roads on their maps, but the roads may need to be maintained in the data for emergency response or other purposes.9: Private road, for display on local maps10: Driveway (put in driveway)11: Town Highway Class 1 - North Bound12: Town Highway Class 1 - South Bound13: Town Highway Class 1 - East Bound14: Town Highway Class 1 - West Bound15: Town Highway Class 1 - On/Off Ramp16: Town Highway Class 1 - Emergency U-Turn20: County Highway21: Town Highway Class 2 - North Bound22: Town Highway Class 2 - South Bound23: Town Highway Class 2 - East Bound24: Town Highway Class 2 - West Bound25: Town Highway Class 2 - On/Off Ramp30: State Highway31: State Highway - North Bound32: State Highway - South Bound33: State Highway - East Bound34: State Highway - West Bound35: State Highway - On/Off Ramp40: US Highway41: US Highway - North Bound42: US Highway - South Bound43: US Highway - East Bound44: US Highway - West Bound45: US Highway - On/Off Ramp46: US Highway - Emergency U-Turn47: US Highway - Rest Area50: Interstate Highway51: Interstate Highway - North Bound52: Interstate Highway - South Bound53: Interstate Highway - East Bound54: Interstate Highway - West Bound55: Interstate Highway - On/Off Ramp56: Interstate Highway - Emergency U-Turn57: Interstate Highway - Rest Area59: Interstate Highway - Other65: Ferry70: Unconfirmed Legal Trail71: Unidentified Corridor80: Proposed Highway Unknown Class81: Proposed Town Highway Class 182: Proposed Town Highway Class 283: Proposed Town Highway Class 384: Proposed State Highway85: Proposed US Highway86: Proposed Interstate Highway87: Proposed Interstate Highway - Ramp88: Proposed Non-Interstate Highway - Ramp89: Proposed Private Road91: New - Class Unknown92: Military - no public access93: Public - Class Unknown95: Class Under Review96: Discontinued Road97: Discontinued Now Private98: Not a Road99: Unknown***GPSUpdate Domain:Y: Yes - Needs GPS UpdateN: No - Does not need GPS UpdateG: GPS Update CompleteV: GPS Update Complete - New RoadX: Unresolved Segment

The map title is Jasper. Tactile map scale. 1.7 centimetres = 2 kilometres North arrow pointing to the north. Jasper and surrounding area. Railroad. Yellowhead Highway route 16, route 93. Train station, bus terminal. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

FAF domestic region level datasets and products provide information for states, state portions of large metropolitan areas, and remainders of states. Metropolitan areas consist of Metropolitan Statistical Areas or Consolidated Statistical Areas as defined by the Office of Management and Budget. When a metropolitan area is entirely within a state or when a state's portion of a multi-state metropolitan area is large enough to support the sampling procedures in the Commodity Flow Survey, the area becomes a separate FAF region. Small single-state metropolitan areas and small portions of a multi-state metropolitan area are part of the State or Remainder of State. FAF has two metropolitan areas that are each divided into three FAF regions, four that are each divided into two FAF regions, and several that have small pieces combined with States or Remainders of States.

© United States Department of Transportation, Federal Highway Administration. For more information, see the site http://www.ops.fhwa.dot.gov/freight/freight_analysis/faf/faf3/userguide/index.htm This layer is sourced from maps.bts.dot.gov.

The spatial component of the FAF network is derived from National Highway System Version 2009.11 and contains state primary and secondary roads, National Highway System (NHS), National Network (NN) and several intermodal connectors as appropriate for the freight network modeling. The network consists of over 447,808 miles of equivalent road mileage. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, and Hawaii. The nominal scale of the data set is 1:100,000 with a maximal positional error of ±80 meters.

© ederal Highway Administration Office of Freight Management and Operations and the Battelle Memorial Institute, Columbus, OH

Important Note: This item is in mature support as of July 2021. This map presents transportation data, including highways, roads, railroads, and airports for the world. The map was developed by Esri using Esri highway data; Garmin basemap layers; HERE street data for North America, Europe, Australia, New Zealand, South America and Central America, India, most of the Middle East and Asia, and select countries in Africa. Data for Pacific Island nations and the remaining countries of Africa was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view.You can add this layer on top of any imagery, such as the Esri World Imagery map service, to provide a useful reference overlay that also includes street labels at the largest scales. (At the largest scales, the line symbols representing the streets and roads are automatically hidden and only the labels showing the names of streets and roads are shown). Imagery With Labels basemap in the basemap dropdown in the ArcGIS web and mobile clients does not include this World Transportation map. If you use the Imagery With Labels basemap in your map and you want to have road and street names, simply add this World Transportation layer into your map. It is designed to be drawn underneath the labels in the Imagery With Labels basemap, and that is how it will be drawn if you manually add it into your web map.

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.

This map features highway-level data for the world and street-level data for North America, Europe, and other parts of the world. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Street Map service description.

The map title is Banff. Tactile map scale. 1.7 centimetres = 2 kilometres North arrow pointing to the north. Banff and surrounding region. Trans-Canada Highway, route 1. Airport. Mountains. Bow River. Lake Minnewanka. Secondary roads. Tertiary roads. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.