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@article{186883,
        author = {Zeba Masroor and Mohammed Jawad and Khalid Javed Khan and Syed Mujtaba},
        title = {Intelligent Traffic Light Control System Using Smart Sensors and IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2344-2352},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186883},
        abstract = {Urban traffic congestion has become a significant global issue, exacerbated by rapid urbanization and the increasing number of vehicles on the road. Traditional fixed-time traffic light systems fail to adapt to real-time traffic conditions, resulting in delays, fuel wastage, and pollution. This paper proposes a Hybrid Intelligent Traffic Management System (HITMS) that integrates Wireless Sensor Networks (WSN), Internet of Things (IoT), GSM, and RF modules to create a dynamic, adaptive system. The system collects real-time data using various sensors, adjusts traffic signal timings based on real-time conditions, prioritizes emergency vehicles, and provides congestion alerts to users. The system uses an innovative TSTMA algorithm to dynamically manage signal durations and optimize traffic flow. Simulation results show that the HITMS system can reduce average waiting time by approximately 60% and queue length by 66%, demonstrating the effectiveness of the proposed system in improving traffic management.},
        keywords = {Intelligent Traffic Control, Smart Sensors, IoT Integration, Wireless Sensor Networks (WSN), Emergency Vehicle Priority.},
        month = {November},
        }