Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{169939,
        author = {Sanskruti hemant teware and Sayyam Sunil Bhoyar and Lishika Ashok Gargelwar and Kavya Ravi Kalwal},
        title = {Smart traffic management system using IOT sensor},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2824-2826},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169939},
        abstract = {A Smart Traffic Management System (STMS) leveraging Internet of Things (IoT) sensors to enhance urban traffic flow, reduce congestion, and improve road safety. The proposed system integrates a network of IoT-enabled devices, including traffic cameras, smart signals, and vehicle detection sensors, to collect real-time data on traffic patterns and vehicle density. Utilizing advanced algorithms and machine learning techniques, the system analyzes the data to optimize traffic signal timings dynamically, providing adaptive responses to varying traffic conditions.
The STMS also features an intuitive user interface that offers drivers real-time information about traffic conditions, optimal routes, and estimated travel times through a mobile application. Additionally, the system facilitates emergency vehicle prioritization, ensuring timely responses during critical situations. A pilot implementation in a congested urban area demonstrates a significant reduction in wait times, enhanced traffic flow efficiency, and improved overall user satisfaction.
This research underscores the potential of IoT technologies in revolutionizing traffic management, contributing to smarter cities and sustainable urban development. Future work will focus on further integration with autonomous vehicles and expansion of the system's capabilities through edge computing and big data analytics.},
        keywords = {},
        month = {November},
        }