Intelligent Traffic Management System using Internet of Things

Rapid urbanization and population growth have led to severe traffic congestion, delays, and increased pollution in modern cities. To address these challenges, this paper proposes an Intelligent Traffic Management System (ITMS) based on the Internet of Things (IoT). The system integrates smart sensors, cameras, and wireless communication technologies to monitor real-time traffic flow, vehicle density, and signal status across intersections. The collected data is transmitted to a centralized cloud platform for processing and analysis. Using this information, the system dynamically controls traffic signals to optimize vehicle movement, reduce waiting time, and minimize fuel consumption. Additionally, IoT-enabled alert mechanisms provide early warnings about accidents, roadblocks, or emergency vehicle movement to ensure smoother traffic operations. The proposed system enhances road safety, improves transportation efficiency, and contributes to the development of sustainable smart cities. Experimental simulations demonstrate that IoT-based traffic control significantly outperforms traditional fixed-timer systems in managing congestion and reducing travel time.

  • Research Type: Causal Research
  • Paper Type: Persuasive research Paper
  • Vol.2 , Issue 3 , Pages: 7 - 13, May 2020
  • Published on: 12 May, 2020
  • Issue Type: Regular
  • Cite Score
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    100

  • No. of authors
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    75

  • No. of Downloads
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    43

  • Cite Score
    :

    100

  • No. of authors
    :

    75

  • No. of Downloads
    :

    43

  • Cite Score
    :

    100

  • No. of authors
    :

    75

  • No. of Downloads
    :

    43

About Authors:
A V N CHANDRA SEKHAR
India
Jawaharlal Nehru Technological University Kakinada (JNTUK)

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Copyright © 2020, This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NY-SA). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Corresponding Author: A V N CHANDRA SEKHAR, dravncs@sasi.ac.in

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Conflict of interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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