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@article{182779,
        author = {Mr.K.MANIRAJ and Mrs.D.REVATHY and Mrs.A.ANTRO URSEL JEFFRIE and Mr.N.RAGHAVENDRAN},
        title = {AI-POWERED TRAFFIC MANAGEMENT SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {3349-3354},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182779},
        abstract = {Sensitive technologies are being used in smart cities to enhance urban living and address issues specific to each metropolitan region, like air pollution, traffic congestion that lengthens commutes, and economic productivity. Traffic congestion is undoubtedly one of the most significant issues facing urban regions. An "AI-Powered Traffic Management System" is suggested by this study as a comprehensive remedy for contemporary urban traffic problems. Manual observation and fixed-traffic signal coordinated systems are examples of traditional approaches that have not been able to keep up with the growing number of cars on the road. The goal of this project's building is to help with some of the fuel and time-wasting issues. 
Our method involves using IoT sensors and CCTV cameras to gather real data, then using AI-powered algorithms to actively change the "what is" model into a better, more optimised "what should be" one using signal control and interaction vision algorithms. In order to ensure systemic scalability and efficiency in data processing, the system uses TensorFlow, OpenCV, and cloud platforms like AWS or Google Cloud.
This intelligent traffic management system will reduce emissions and traffic congestion, enhance incident response times, and give passengers a more pleasant experience overall once it is put into place. The system also lays the groundwork for future developments of smart roads, the ultimate in responsive and ergonomic urban transportation infrastructure, and merging with autonomous vehicle technology.},
        keywords = {Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Internet of Things (IoT), Smart Cities, Intelligent Transportation Systems (ITS), Traffic Congestion, Real-Time Traffic Monitoring, Predictive Traffic Analytics, Vehicle Detection and Classification, Traffic Flow Optimization.},
        month = {July},
        }