An Android-Based Smart RSU Framework for Enhanced Urban Traffic Management
Dublin Core
Title
An Android-Based Smart RSU Framework for Enhanced Urban Traffic Management
Subject
Roadside Units (RSUs), Traffic Monitoring, YOLOv8, SAHI Algorithm, Android-Based RSUs, Real-Time Object Detection, Urban Traffic Management.
Description
This paper 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. Leveraging mobile phone architecture, YOLOv8 , the SAHI algorithm and chat gpt-4o, the system provides real-time traffic data collection, vehicle detection, and congestion analysis. This paper 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 offers enhanced scalability, flexibility, and reduced cost, making it an ideal solution for urban traffic management.
Creator
Mohamed Fadhil, Qutaiba Ibrahim Ali
Source
www.ijcit.com
Date
March 2025
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Mohamed Fadhil, Qutaiba Ibrahim Ali, “An Android-Based Smart RSU Framework for Enhanced Urban Traffic Management,” Repository Horizon University Indonesia, accessed June 6, 2025, https://repository.horizon.ac.id/items/show/9191.