Construction of a Virtual Twin Testing Framework for Safety of the Intended Functionality in Intelligent Connected Vehicles
Abstract
This study aims to construct a virtual twin testing framework for the safety of the intended functionality of intelligent connected vehicles to address the safety requirements of intelligent driving and transportation systems. The research methods include the construction of a theoretical model of safety for intelligent connected vehicles based on the concept of virtual twins, the correlation study between key concepts and functional safety, and the application research of virtual twin technology in the safety testing of intelligent connected vehicles. The results reveal that the virtual twin testing framework can effectively enhance the functional safety of intelligent connected vehicles, reduce development costs, and shorten the product launch cycle. The conclusion suggests that this framework provides strong support for the healthy development of the intelligent connected vehicle industry and has a positive impact on the safety and efficiency of intelligent transportation systems.
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