Construction of a Virtual Twin Testing Framework for Safety of the Intended Functionality in Intelligent Connected Vehicles

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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Publication Details

Journal
Journal of Electronic Research and Application
Published
2025-10-15
DOI
https://doi.org/10.26689/jera.v9i5.12195
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
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article

Construction of a Virtual Twin Testing Framework for Safety of the Intended Functionality in Intelligent Connected Vehicles

Qiushi Fu, Sun Daxu
Journal of Electronic Research and Application
Autonomous Vehicle Technology and Safety
article

Construction of a Virtual Twin Testing Framework for Safety of the Intended Functionality in Intelligent Connected Vehicles

Qiushi Fu, Sun Daxu
article en

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.

Journal of Electronic Research and ApplicationVol. 9(5)
Shunde Polytechnic (CN)
Openalex Percentile: Top 68%
Autonomous Vehicle Technology and Safety
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Construction of a Virtual Twin Testing Framework for Safety of the Intended Functionality in Intelligent Connected Vehicles — Qiushi Fu, Sun Daxu · Journal of Electronic Research and Application (2025) | TGRS Research Map | TGRS