Global Journal of Engineering and Technology Research (GJETR)
Development of AI-Based Real-Time Traffic Monitoring System for Smart Cities
Dr. Divvela Srinivasa Rao
22 July 2025 · Vol. 1, Issue 1, pp. 32-40
Abstract
Urban centers across the globe are grappling with the growing challenge of traffic congestion, vehicular emissions, and inefficient road usage. As cities expand and vehicle numbers continue to rise, conventional traffic monitoring systems are proving increasingly inadequate. They are often reactive, manually managed, and lack the dynamic adaptability to respond to real-time traffic fluctuations. In the context of the smart city framework, there is a pressing need for intelligent, autonomous systems that can actively monitor, analyze, and optimize traffic flows using real-time data. This paper presents a comprehensive approach to the development of an AI-based real-time traffic monitoring system tailored specifically for the requirements of modern smart cities. Using a combination of machine learning algorithms, deep learning object detection frameworks, edge computing, and IoT integration, this system can detect vehicle counts, classify vehicle types, identify congestion hotspots, and detect road anomalies such as stalled vehicles or accidents. The system architecture is designed for scalability, with an emphasis on low-latency processing and user-friendly dashboard visualization. Experimental deployments demonstrate a significant improvement in traffic management efficiency, situational awareness, and response coordination. The proposed system is not only technically robust but also aligned with sustainable urban mobility goals.
Keywords: Artificial Intelligence, Smart Cities, Traffic Monitoring, Edge Computing, Intelligent Transportation Systems, YOLO, Deep Learning, Urban Mobility, Machine Learning, Real-Time Analytics
Read the full text on Global Journal of Engineering and Technology Research →The full peer-reviewed article and PDF are hosted on the journal's site (the version of record).
Cite this article
Dr. Divvela Srinivasa Rao (2025). Development of AI-Based Real-Time Traffic Monitoring System for Smart Cities. Global Journal of Engineering and Technology Research, 1(1), 32-40. https://gjetr.ep-journals.org/index.php/gjetr/article/view/5
@article{Dr2025,
title = {Development of AI-Based Real-Time Traffic Monitoring System for Smart Cities},
author = {Dr. Divvela Srinivasa Rao},
journal = {Global Journal of Engineering and Technology Research},
year = {2025},
volume = {1},
number = {1},
pages = {32-40},
url = {https://gjetr.ep-journals.org/index.php/gjetr/article/view/5}
}Related articles in GJETR
- Predictive Simulation and Early Warning in Flood Digital Twins: A Systematic Review of AI Model Performance, Warning Lead Times, And Operational Deployment
Obeng , Lydia Dede · Aug 2026
- Evaluation of A Sludge Management Monitoring System for Sustainable Waste Disposal
BATIANCILA, NOBIL A., ARCADIO, REDJIE D. · Aug 2026
- A Hybrid Post-Quantum Cryptography and Machine Learning Framework for Intrusion Detection in VANETs
Bankole, Moses O. · Aug 2026
- A Hybrid LSTM–Grey Wolf Optimization Framework for Optimal Siting and Sizing of Distributed Generation in Radial Distribution Networks: Evidence from IEEE Benchmark Systems and A Nigerian 33 kV Feeder
Johnson, Owolade Stephen, Ajenikoko, Ganiyu Adebayo, Adesina, Olusegun Bola · Aug 2026
- A Conceptual Model for Trustworthy Proactive Device Personalization
Oyesiji, Serif Oyindamola, Nwakamma, Stanley, Ojukwu, John · Aug 2026
