Muhammad Rafay

Academic

Career

Verbatim text

Al-Driven Digital Twin Empowered Intelligent Roadside Unit (RSU) 
This project aims to design and implement an Al-Driven Digital Twin Empowered Intelligent 
Roadside Unit (RSU) system with a primary focus on strengthening Emergency Vehicle Pre-emption 
(EVP). RSUs deployed at intersections are responsible for dynamically adjusting traffic signals to 
provide priority passage to ambulances and fire trucks. However, operational faults such as 
overheating, battery degradation, camera misalignment, and unauthorized tampering can disrupt 
EVP functionality, resulting in delayed emergency response times and increased risk to public safety. 
To address these challenges, the proposed system integrates an Al-powered Digital Twin that 
continuously monitors the health and performance of the RSU in real time. The Digital Twin 
replicates the physical unit, analyzing parameters such as temperature, battery State of Charge 
(SoC), State of Health (SoH), and camera orientation. Through predictive maintenance and 
intelligent fault detection, the system can anticipate failures and initiate corrective actions, such as 
activating cooling mechanisms or stabilizing hardware components. By ensuring uninterrupted EVP 
operation, the system enhances emergency response efficiency and contributes to safer and more 
resilient urban transportation infrastructure. 
ey Words: Digital Twin, Intelligent Transportation Systems (ITS), Roadside Units (RSU), Predictive 
Maintenance, Emergency Vehicle Pre-emption (EVP) 
Overview 
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