Zenrin DataCom Launches New Autonomous Driving Data Service

Zenrin DataCom Develops New AD and ADAS Data Service

Zenrin DataCom Co Ltd will start a new service for autonomous driving (AD) and advanced driver assistance systems (ADAS) as early as October, using spatio-temporal data provided by Zenrin Co Ltd. The service is designed to let users identify roads on a map according to specified criteria and export the resulting road data as a network for simulation applications. By combining road characteristics with accident-related information, the service supports analysis based on multiple conditions. The development is aimed at providing structured road and incident data that can be used when evaluating AD and ADAS systems in virtual environments.

Road Data Can Be Extracted Using Specific Parameters

The service allows users to select roads according to parameters derived from map data, including road width, number of lanes, speed limits, and curvature. Users can then view the roads matching those criteria on a map and export the extracted road data as a network. This approach enables simulation users to define road environments based on specific characteristics rather than relying on a general road dataset. The resulting network can serve as a basis for virtual testing and analysis, allowing AD and ADAS-related simulations to reflect selected physical and regulatory characteristics of actual road environments.

Accident Data Enables Cross-Analysis With Road Conditions

The service also supports cross-analysis by combining road parameters with accident data. Users can set conditions covering accident details, accident types, and weather conditions alongside characteristics obtained from map data. This makes it possible to examine road networks using combinations of infrastructure and incident-related factors. For AD and ADAS development, such combined analysis can help users construct simulation scenarios around defined road conditions and accident circumstances. The service therefore brings map-derived road attributes and accident information into a common analysis workflow, while preserving the ability to select the conditions used to create the relevant road network.

Traffic Volume Data Can Connect With Simulators

The service can also be linked with traffic volume simulations for the road network created using Japan-based Zenrin data. Users can establish conditions such as hourly traffic volume, after which vehicles are generated within a virtual space according to those settings. The resulting traffic environment can then be connected to a simulator in real time. This linkage allows the extracted road network and defined traffic conditions to be used together within a simulation environment, providing a way to evaluate driving scenarios while dynamically incorporating virtual vehicle traffic into the selected road network.

Industry Impact & Outlook

Zenrin DataCom’s service expands the data infrastructure available for AD and ADAS simulation by combining detailed road characteristics, accident information, and configurable traffic conditions within one workflow. For developers and testing organizations, the ability to extract road networks using defined parameters and connect them with real-time traffic simulation could support more targeted virtual evaluation across different road and incident scenarios. The service’s practical significance will depend on how broadly users apply the available data and simulation connections after launch, but its combination of map-derived attributes, accident conditions, and traffic-volume settings provides a structured basis for creating scenario-specific virtual environments.

Frequently Asked Questions

What will Zenrin DataCom’s new service provide?
The service will provide map-based road extraction and simulation capabilities for autonomous driving and advanced driver assistance systems using Zenrin spatio-temporal data. Users will be able to select roads using criteria such as road width, lane count, speed limits, and curvature, then export the resulting roads as a network for simulation. Accident details, accident types, and weather conditions can also be incorporated for cross-analysis. Traffic volume conditions, including hourly vehicle volumes, can generate vehicles in a virtual environment and connect the resulting traffic simulation with a simulator in real time.