Reduce Traffic Congestion Using Automated Traffic Navigation System

Year : 2024 | Volume :15 | Issue : 02 | Page : –
By

Shreyas Girish Chitnis,

Anushka Vitthal Kadu,

Maithilee Bharat Shinde,

Swaraj Dilip Zavare,

Sharayu Patil,

  1. Student Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Khalapur Maharashtra India
  2. Student Department of Computer Engineering, Vishwaniketan’s Institute Of Management Entrepreneurship And Engineering Technology (ViMEET), Khalapur Maharashtra India
  3. Student Department of Computer Engineering, Vishwaniketan’s Institute Of Management Entrepreneurship And Engineering Technology (ViMEET), Khalapur Maharashtra India
  4. Student Department of Computer Engineering, Vishwaniketan’s Institute Of Management Entrepreneurship And Engineering Technology (ViMEET), Khalapur Maharashtra India
  5. Assistant Professor Department Of Computer Engineering, Vishwaniketan’s Institute Of Management Entrepreneurship And Engineering Technology (ViMEET), Khalapur Maharashtra India

Abstract

The concept of activity routing without reliance on traditional activity signals is gaining significant traction. This innovative approach aims to enhance urban vehicular movement by eliminating the need for conventional traffic signal systems. This summary delves into the intricate realm of signal-free activity routing, incorporating advanced technologies such as artificial intelligence, machine learning, and sensor networks. The benefits, including reduced congestion, increased fuel efficiency, and improved traffic flow, are thoroughly discussed. Furthermore, the abstract identifies challenges such as ensuring safety, managing intersections, and coordinating vehicle movements. The importance of additional research and development in this field is emphasized, as it holds the potential to bring about a paradigm shift in urban mobility. The integration of these advanced technologies can lead to more efficient and intelligent traffic management systems, capable of adapting to real-time conditions and reducing the overall environmental impact. This exploration underscores the transformative potential of signal-free activity routing, advocating for continued innovation and collaboration to address the existing obstacles and fully realize its benefits for urban transportation systems.

Keywords: machine learning, intelligent traffic management system, traffic navigation, signal systems, intersection, vehicle movements

[This article belongs to Journal of Computer Technology & Applications(jocta)]

How to cite this article: Shreyas Girish Chitnis, Anushka Vitthal Kadu, Maithilee Bharat Shinde, Swaraj Dilip Zavare, Sharayu Patil. Reduce Traffic Congestion Using Automated Traffic Navigation System. Journal of Computer Technology & Applications. 2024; 15(02):-.
How to cite this URL: Shreyas Girish Chitnis, Anushka Vitthal Kadu, Maithilee Bharat Shinde, Swaraj Dilip Zavare, Sharayu Patil. Reduce Traffic Congestion Using Automated Traffic Navigation System. Journal of Computer Technology & Applications. 2024; 15(02):-. Available from: https://journals.stmjournals.com/jocta/article=2024/view=155758

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Regular Issue Subscription Review Article
Volume 15
Issue 02
Received April 6, 2024
Accepted May 23, 2024
Published July 9, 2024
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