Digital Twin-Assisted 6G-V2X Intelligent Highway Safety System

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23732487
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
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article

Digital Twin-Assisted 6G-V2X Intelligent Highway Safety System

P. Keerthi, Prof. S. Narayana Reddy
2 links
Zenodo (CERN European Organization for Nuclear Research)
Vehicular Ad Hoc Networks (VANETs)
article

Digital Twin-Assisted 6G-V2X Intelligent Highway Safety System

P. Keerthi, Prof. S. Narayana Reddy
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure, Sustainable cities and communities
Openalex Percentile: Top 24%
Vehicular Ad Hoc Networks (VANETs)
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