The digital model library product independently developed by the National Intelligent Connected Vehicle Innovation Center located in the Beijing Economic-Technological Development Area (Beijing E-Town) was recently launched on the trading platform of the Beijing International Data Exchange.

As a core resource repository for the research and testing of intelligent connected vehicles, this digital model library can simulate complex and dynamic traffic scenarios comprehensively and in multiple dimensions, supporting simulation testing of autonomous driving systems.

The digital model library covers four core categories: Chinese-road element models, China's typical intersection models, vehicle and traffic participant models and scene environment models. By providing a diverse range of simulation testing scenarios, it is expected to greatly enhance the testing efficiency and safety of autonomous driving systems, accelerating the transition of autonomous driving technology from the laboratory to real-world applications.

In particular, to meet diverse testing needs, the center has also built closed parks, highway toll stations, parking lots, mining areas, and other scene environment models in this digital model library, with support for customized development. The environment models can enhance the adaptability of autonomous driving systems to complex and dynamic environments, and support realistic simulation and detailed handling of engineering machinery actions, providing strong support for simulation testing of autonomous driving systems in special scenarios.

The release of this digital model library not only provides efficient and convenient data access channels for companies in the upstream and downstream of the intelligent connected vehicle industry chain but also lays the foundation for promoting innovation and application of intelligent connected vehicle technology and facilitating the market-oriented allocation of data elements.