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What we put forth in this work is a Digital Twin-Assisted 6G-V2X Intelligent Highway Safety System, which aims to improve highway safety by combining Digital Twin technology with 6G and Vehicle-to-Everything (V2X) communication. In our proposed model, a virtual representation of the highway is created to monitor real-time road conditions, vehicle movements, traffic density, and possible accident situations. Information is collected from connected vehicles, roadside units, sensors, and other devices through the 6G-V2X network and is continuously used to update the Digital Twin. What each part of the system mainly does is to monitor traffic behavior and identify possible risky conditions such as sudden braking, abnormal vehicle movement, high traffic density, and unsafe lane changes. The detected information is analyzed through the Digital Twin and communicated to near by vehicles and roadside infrastructure so that suitable warning and safety actions can be taken. The main idea of our proposed model is to identify and understand possible highway risks before they result in an accident, instead of only responding after an accident occurs. By combining Digital Twin technology, 6G-V2X communication, real-time traffic monitoring, and intelligent safety decision-making, the proposed system aims to provide faster information sharing, early risk identification, and improved intelligent highway safety management.
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Keerthi et al. (2026) studied this question.
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