Small to medium-scale background maps covering all of Japan

• Optimal map representation with 12 levels of display scale.
  *Top (1/3.2 million to 1/25.6 million), Middle (1/200,000 to 1/1.6 million), Base (1/12,500 to 1/100,000)
• Vector data composed of polylines and polygons with a rich array of attributes.
• Provides a set of administrative boundary polygons, administrative boundary lines, and road/railway lines for display.

A large-scale map showing even individual houses and buildings.

• Classified polygons and polylines (over 100 types).
• Features and annotations designed with visibility in mind (over 350 types).
• All buildings and houses were converted into polygons, and attribute data was assigned to each.
• Map annotation icons and contour lines (at 5m intervals) can also be provided as a set.

Each railway line, including JR and private railways, is represented by a color designated by the railway company

• JR, private railways, monorails, cable cars,
  All railway lines, including trams, are stored as network data.
• Point data for station names and line names is also provided as a set.
  It enables diverse map representations.

Polyline data that represents contour lines on a map

• Wide-area map: Contour lines at intervals of 50m to 10m.
• Detailed map: Contour lines at 5m intervals.
• This can be used for risk assessment of flood damage such as tsunamis and landslides, development of disaster prevention plans, and creation of hazard maps.

Various polygon data to make the background map more visually appealing, such as the display of names

• There are four types: "Forest Polygons," "Water Data (including river line data)," "Rest Area/Service Area Polygons," and "National and Quasi-National Park Polygons."
• Forest polygons allow for rich rendering of mountain ranges.
• Water, Rest Area/Service Area, and National/Quasi-National Park polygons are each linked to POIs and name tables, allowing us to identify their respective names and attributes.

Map display in 13 languages and 14 variations.

• MapFan map annotation text is now available in multiple languages.
• The supported languages are Japanese, English, Chinese (Traditional and Simplified), Korean, Italian, Indonesian, Spanish, Thai, German, French, Vietnamese, Portuguese, and Russian—13 languages in 14 variations.
• This will be useful in creating various map solutions for foreigners residing in Japan and those visiting Japan.

Building names such as residential buildings, office buildings, various facilities, and shops.

• Building name data for apartments, condominiums, housing complexes, restaurants, retail stores, office buildings, and facilities (education, lodging, religious institutions, cultural institutions, entertainment venues, etc.).
• The building's height is also indicated by the number of floors.
• Please use this for map display and search purposes.

Building floor number and height information associated with building footprint polygons

• Building floor number and height information linked to the building footprint polygons.
• The primary meshes to be targeted are as follows:
  5030 / 5132 / 5134 / 5135 / 5234 / 5235 / 5236 5237 / 5239 / 5339 / 5340 / 5740 / 6441
  *The buildings to which height is assigned are only a portion of the mesh.
• It can be used in simulations in various fields, including landscape, views, urban planning, radio waves, and disaster prevention.

Point data to improve the accuracy of building directions

• Point data that organizes suitable locations for destinations and guidance points for buildings nationwide.
• It is possible to indicate the appropriate location even for buildings that do not have an address.
• Points are generated for each building shape and are linked to the address data of each building, so they can also be used as points for route searching based on address points.

3D-style icon data of famous buildings in urban areas and tourist destinations.

• Famous buildings are visualized in a unique way using bitmap images.
• We provide a set of configuration files for displaying the map.
• By placing three-dimensional landmarks on a two-dimensional map, we can provide clearer and easier-to-understand directions.

Famous landmarks that serve as guideposts are represented in 3D visuals.

• Data that displays prominent landmarks on top of house shapes on a city map.
• We can also provide a text file containing reference coordinates and latitude/longitude information for each vertex.
• OBJ data consists of [object files], [material files], and [texture files], which are combined to create a 3D representation.

Includes estimated values for road width (minimum width).

• This data contains estimated values for road width (minimum width) and is provided in an external table format linked to road links.
• We support highly accurate routing tailored to vehicle size, including optimizing and streamlining logistics and delivery routes, and pre-simulating the routes for transporting heavy machinery and materials to construction and demolition sites.

High-quality, high-precision, and up-to-date road data covering approximately 1.3 million km nationwide.

• Extensive attribute data (road type, route type, number of lanes, national/prefectural road number, etc.). Data showing road types and characteristics (bridges, tunnels, overpasses, underpasses, level crossings, etc.) is also available.
• The app also includes comprehensive traffic regulation data (such as road closures, one-way streets, time-based restrictions, and no-turn/right-turn restrictions).
• Newly opened and renovated roads across the country are regularly updated.
• Optional features include toll data for ETC and other systems, vehicle-specific restriction data, and data on zones (30 km/h), stop signs, and speed limits.

Road data covering all of Japan, including even narrow streets less than 3 meters wide.

• This data includes unpaved roads, farm roads, forest roads, and connecting roads to private homes that are less than 3 meters wide nationwide, which are not included in standard road network data. This allows for various applications, such as improving road display on maps, enhancing the quality of last-mile guidance to destinations, and utilizing it for various analyses and interpretations.
  *This data uses a different format than standard road network data. (It is provided in an extended format that includes road links, road nodes, and their respective segmentation information.)

Zone 30 information, based on the National Police Agency's regulatory database.

• Zone 30 is a traffic safety measure aimed at ensuring the safe passage of pedestrians and cyclists on residential streets.
• The data includes Zone 30 areas (polygon shapes) and Zone 30 links (corresponding link IDs).
• It can also be used for advanced driver-assistance systems (ADAS).

Speed limit information marked on signs and road paint.

• This can be used for logistics delivery, as well as for route search options and map display in car navigation systems.
• The maximum speed data will be provided as table data, linked to each road link.

Nationwide road stop sign data obtained from road surveys.

• This system can be used to provide audio and icon-based warnings before entering an intersection where it is installed.
• Locations without stop signs (only temporary signs, paint markings, or stop lines) are excluded from maintenance.

Toll table for expressways and toll roads, including ETC discounts.

• The system supports different toll formats depending on the road, including separate tolls for cash-paying vehicles and ETC-equipped vehicles, as well as ticketing and payment options.
• Provides fares for each vehicle type, such as oversized vehicles, large vehicles, medium-sized vehicles, regular vehicles, and small vehicles.

Regulation information for specific vehicle types and sizes, such as trucks.

• This is nationwide vehicle-specific regulation data that allows you to determine whether large cargo vehicles such as trucks are permitted to pass through certain areas.
  This database covers roads nationwide and includes information on physical restrictions such as vehicle width, height, weight, and load capacity, as well as regulations based on traffic signs, such as prohibitions against large vehicles and vehicles carrying hazardous materials. It also includes attributes for motorcycles, taking into account whether or not they are suitable for two riders.
  This data is highly effective in optimizing logistics vehicle routes, improving the accuracy of vehicle-specific navigation functions, and conducting simulation analyses.
• The target area includes all roads, including narrow streets.
• This enables even more practical route searching, such as for large vehicle routes.

This map shows the elevation of each point in road links across the country, including narrow streets

• The data was compiled using log data from vehicles used for driving surveys, log data from high-precision measuring equipment, and other materials.
• It covers everything from highways and national roads to narrow streets.
• Digital elevation model (DEM) data does not cover areas such as tunnels, bridges, and overpasses, but these are supplemented and included using various other data.
• It can be used for various simulations that utilize road slopes and gradients.

Data representing the longitudinal gradient of road links

• This represents the gradient value (%) calculated using two elevation points viewed from the forward direction of the road link.
• This data represents the longitudinal gradient of a road and can be used to warn drivers of steep sections, as well as to calculate fuel-efficient routes with minimal gradient changes.
• The material is based on gradient data obtained from road driving surveys.

Data that represents the connection relationship from entry to exit on a lane-by-lane basis.

• This is shape information representing lane entry and exit.
• This data represents the lane connection relationships from lane entry to exit, and can be used to provide drivers with more advanced guidance for merging and diverging, as well as guidance for lane changes, through voice and illustrations.

Curve point data containing curvature and azimuth angles.

• It can be used to alert drivers when entering sharp curves, visualize sharp curves on a map, and search for routes that take curves into consideration.
• This was mechanically generated from the constituent points of the road network (NW).
• The dataset contains curvature values (1/radius of curvature [m]) and azimuth values (0° for true north, with clockwise angles represented as positive values) for road curve points.

A pedestrian-only network that also covers station premises and stairwells.

• This network of pedestrian-accessible areas, including train stations, pedestrian overpasses, pedestrian decks, underground passages, parks, and staircases, is being developed in major cities, airports, and large parks throughout Japan.

Routing data for cyclists

• It can be used to search for routes that take into account regulations for cyclists.
• Information such as the type and name of the bicycle route can also be used for guidance during routing.

Distance marker point data obtained through on-site driving surveys.

• Distance marker information for each route is stored in 100m increments.
• The target areas are mainly urban expressways and highways (urban expressways, non-high-standard roads, and high-standard trunk roads that do not connect to highway routes are excluded).

Image database collected through independent road surveys across Japan.

• These road-driving images are generated by continuously capturing still images of the road ahead of and behind the vehicle using onboard cameras and associating each image with location information.
• It covers roads throughout Japan, including even narrow streets, and historical images (archive data) are also available.
  Case Studies SoftBank Corp. 's annotation outsourcing service, "TASUKI Annotation"

Building address information where address strings can be displayed on the house shape on the map

• Address point data that quickly responds to municipal mergers and changes in administrative boundaries.
• Address data with letters is also provided (e.g., A, B, C, 甲, 乙, 丙...).
• Official and common names are clearly distinguished and maintained accordingly.
• We can also provide multilingual data in English, Chinese (Traditional and Simplified), and Korean.
  Case Studies
  Sharp Corporation EMOPA
  Marketing Dynamic System (MDS) for Nippon Statistics Center Co., Ltd
  Kanden CS Forum Co., Ltd.'s AI voice bot "Leo Kani "
  Kokusai Kogyo Co., Ltd. Genavis

Includes latitude and longitude for postal codes (including P.O. boxes and large business addresses).

• Latitude and longitude information is included in all postal codes (7-digit and 3-digit) nationwide.
• There are four types of postal codes: address, building, large business, and post office box.
• This can be used as search data using postal codes.

Address polygon data showing town, district, and block boundaries nationwide.

• Address polygon data indicating the boundaries of towns, districts, and city blocks.
• Reverse geocoding and highlighting of town/district boundary areas are possible.
• It can be linked to sales lists and big data, and used for marketing, disaster prevention measures, environmental improvement, and more.

Administrative boundary data represented as polygons for 7-digit postal code areas.

• This is administrative boundary data where postal codes and address codes are stored in postal code polygons.
• Buildings, large businesses, and post office boxes are excluded (they are included in the "Postal Code Points" data).

Point data representing the base number (*) in the address system area.

• Even for newly constructed buildings whose official addresses or building shapes do not yet exist on maps, the frontage point system allows you to search for their approximate location.
• This improves the pinpoint accuracy of address searches within residential address areas and the precision of reverse geocoding.
• Frontage points are assigned to the side facing the building's entrance, so they can also be used as access points.
  *The blocks are divided into 5-10 meter intervals (frontages) and numbered clockwise.
  See the article "How are addresses determined in Japan? What's the difference between land number and street number? What are block system and road system? We answer your questions about addresses! (Address data and street number edition)"

Spot data for public facilities nationwide

• It is classified into approximately 180 categories, including public facilities, leisure facilities, tourist facilities, accommodation facilities, and transportation facilities.
• Includes name, pronunciation, address, phone number, and latitude/longitude.
• Multilingual data in English, Chinese (Traditional and Simplified), and Korean is also available.
• It can also be used for marketing, market area analysis, and other purposes.
  Case Study: Advanced Media, Inc. AmiVoice a voice recognition engine for navigation systems.

Spot data for commercial facilities and chain stores nationwide

• This catalog contains the names, pronunciations, addresses, phone numbers, and latitude/longitude coordinates of various chain stores nationwide.
• Multilingual data in English, Chinese (Traditional and Simplified), and Korean is also available.
• It can also be used for marketing, market area analysis, and other purposes.
  Case Study: Advanced Media, Inc. AmiVoice a voice recognition engine for navigation systems.

Nationwide spot data that can be used for destination searches on car navigation systems.

• This is a location data set for car navigation systems, containing information on public and commercial facilities throughout Japan.
• Includes latitude and longitude information for route planning. This allows the navigation system to guide your car to the optimal location for your destination.
• It also stores name segmentation data to improve search accuracy.
  Case Study: Sharp Corporation EMOPA

Enables searching for EV charging stations nationwide.

• Location data of charging stations nationwide, containing detailed information such as charger type, output (kW), and number of units.
• You can implement various search functions using detailed information.
• We maintain high quality by recording information on newly established facilities and deleting information on facilities that have ceased operations.

Data on Stations and Underground Mall Entrances and Exits Nationwide

• This data set includes station information and station entrances/exits (underground shopping area entrances/exits).
• Each station spot can be distinguished by railway company and railway line.
• It also includes translation data in English, Chinese (traditional and simplified), and Korean, making it suitable for inbound tourism.
  Case Studies
  Sharp Corporation EMOPA
  Advanced Media, Inc. 's AmiVoice voice recognition engine for navigation systems.

Highway spot data such as interchanges and toll booths

• This data summarizes highway facilities such as interchanges, junctions, and toll booths.
• It also includes highway-specific information such as entrance/exit, northbound/southbound, and direction.
• It also includes comprehensive information on facilities within the service area.

Includes names, latitudes, and longitudes of intersections throughout Japan.

• This includes the name, pronunciation, latitude and longitude, postal code, and address information for each intersection.
• This data can also be used to search for intersections with traffic lights.
  Case Study: Advanced Media, Inc. AmiVoice a voice recognition engine for navigation systems.

Parking spot data containing business information and pricing information.

• We cover parking locations nationwide, primarily focusing on coin-operated parking lots.
• This includes the name, pronunciation, latitude and longitude, address, and detailed information (opening hours, fees, height restrictions, etc.) for each parking lot.
  Case Study: Advanced Media, Inc. AmiVoice a voice recognition engine for navigation systems.

Spot data containing information for truck drivers

• This database includes attribute information that truck drivers need, such as the availability of bathing/shower facilities and whether large vehicles can be parked at gas stations, convenience stores, roadside rest areas, and truck stations nationwide.
• It can be used in logistics systems, etc.

A large volume of search data combining telephone directory information and chain store information.

• It is classified into over 1,000 types of industries and over 3,500 types of chains.
• It can be used for a variety of purposes, from car navigation systems to various location-based services.
• Multilingual data in English, Chinese (Traditional and Simplified), and Korean is also available.

Information on locations nationwide prone to traffic accidents

Public and commercial facility data used for destination searches in car navigation systems.

• This data includes highly accurate new information directly used in map development, as well as future information collected up to three years into the future.
• A list compiling information on facility openings, reconstructions/renovations, relocations/mergers, temporary closures/suspensions, permanent closures, demolition, and development projects.
• It can be used in the fields of area marketing and urban planning.

Public and commercial facility data used for destination searches in car navigation systems.

• In addition to highly accurate new information directly used in map development, we collect forward-looking information for up to three years in advance.
• This resource comprehensively covers information on road openings, widening, alignment improvements, toll reductions, and the establishment of road infrastructure.
• The system also includes location information for the start and end points of each geodetic system.

Achieves car navigation-quality route guidance.

• This data includes road guidance information and lane information for approximately 1.3 million km of roads nationwide.
• Directions and instructions are available in English and Japanese.

Illustration data that makes highway junctions and complex intersections easily understandable at a glance.

• Illustrations that visually represent highway junctions, entrance/exit points, Rest Area/Service Area (Electronic Toll Collection) systems, service areas, and complex intersections in a way that is easy to understand and tailored to the actual conditions of the location.
• It provides clear guidance on which lane to follow and which lane to use at complex intersections.
• The facilities and locations of service areas and parking areas are clearly indicated.

Voice data such as place names and intersection names suitable for navigation.

• Audio data containing place names, station names, road names, highway facility names, intersection names, etc., from all over Japan.
• This is a general-purpose voice data set containing voice messages primarily used in navigation functions, such as "Turn right at the next traffic light."
• Some general-purpose voice prompts are also available in English.

Auxiliary data for speech recognition containing location data from all over Japan.

• Includes nationwide spot data (general facilities, railway station facilities, highway facilities, intersections, addresses).
• In addition to the name and pronunciation, partial match data is included to improve the accuracy of voice searches.
• It can be used for various purposes, such as searching for locations using voice recognition, finding routes from your current location, and input assistance.
• It can also be used as training data for deep learning.
• Supported languages (Japanese, English)

Auxiliary data for TTS (text-to-speech) containing names from all over Japan.

• This catalog includes road-related names from across Japan (highway facilities, directions, intersections, toll roads, and highway names).
• This database includes location-related names (stations, addresses, general facilities) from all over Japan.
• This book contains basic guidance phrases used when guiding people.
• In TTS (Text-to-Speech), it is possible to have text read aloud with a more natural intonation and accent, closer to human speech.
• It can be used in various map solutions, such as voice guidance during route planning, talkback during voice searches, and reading out locations.
• Languages spoken
  Road network (Japanese/English)
  Spot data (Japanese)

High-density pedestrian flow data that allows tracking of movement trajectories at one-minute intervals.

• A sequence of points obtained at one-minute intervals using a smartphone's GPS log.
• It is possible to link 14 types of attribute information, including gender and age group.
• The service is available throughout Japan, by prefecture, or by city/ward/town/village. *The service period can be specified in one-month increments from January 2021 to the present.

Human flow statistics data with 125m mesh resolution

• Population estimated from smartphone GPS logs.
• Resolution of 125m mesh (16 times that of the carrier's 500m mesh).
• It is possible to visualize the population occupying a location by day of the week, hourly, and by gender and age group.

This data shows travel times for each road link, aggregated at 15-minute intervals by season (5) x day of the week (7).

• The target area is the basic road network, which covers approximately 400,000 km nationwide.
• We will provide the data in CSV format (updated twice a year, in spring and autumn).
• By combining this with road network data, it becomes possible to display traffic congestion predictions on a map.

Data estimated from the app's GPS log data, including the day of the week, hourly time slots, and actual traffic volume for each direction of traffic (excluding narrow streets).

• We provide estimated traffic volume data by road link, year, month, day of the week, and time of day.
• It is also possible to estimate traffic volume by gender and age group.