College of Engineering

A Master thesis was discussed in Department of Computer Engineering/College of Engineering at University of Mosul entitled “Design and Development of a Roadside Unit for Intelligent Transportation System” submitted by the student (Mohammed Fadhil Rashad) on Monday, Feb. 24, 2025.

The thesis addresses critical challenges in the deployment and effectiveness of traditional Roadside Units (RSUs) in traffic monitoring systems and proposes a novel, cost-effective approach using Android-based smart RSUs. By leveraging mobile phone architecture, YOLOv8, the SAHI algorithm, and ChatGPT-4o, the proposed system provides real-time traffic data collection, vehicle detection, and congestion analysis. this study evaluates the performance of different cost tiers of mobile devices, discusses traditional traffic monitoring challenges, and identifies key gaps in current RSU technologies.
The proposed system demonstrated enhanced scalability, flexibility, and cost efficiency, making it an ideal solution for urban traffic management. Detection capabilities of Android-based devices varied significantly based on quality, lighting conditions, and placement strategy. High-quality devices achieved a detection range of up to 500 meters with an accuracy of 85%, improving to 90% under optimal conditions.
To maximize coverage while minimizing cost and complexity, a meticulously crafted RSU deployment strategy was implemented using tailored algorithms. The deployment achieved significant results, with 117 smart RSUs covering 15.4 km of roads at a total cost of $30,069. Analysis of performance across HSPA-3G, 4G, and 5G networks highlighted the system’s reliability and effectiveness in real-world conditions, achieving satisfactory data rates and low latency.