Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2582-8185 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Survey on traffic flow prediction for intelligent transportation system using machine learning

Breadcrumb

  • Home
  • Survey on traffic flow prediction for intelligent transportation system using machine learning

V Chandra Sekhar Reddy 1, Srikanth Ganji 2, *, Mudavath Mohan Nayak 2, Medaboina Manish Yadav 2 and Guddeti Deepak Reddy 2

1 Associate professor, Department of Computer Science and Engineering, ACE Engineering College, Hyderabad, Telangana, India.
2 IV B. Tech Students, Department of Computer Science and Engineering, ACE Engineering College, Hyderabad, Telangana, India.
 
Review Article
World Journal of Advanced Research and Reviews, 2023, 17(02), 460–463
Article DOI: 10.30574/wjarr.2023.17.2.0244
DOI url: https://doi.org/10.30574/wjarr.2023.17.2.0244
 
Received on 26 December 2022; revised on 09 February 2023; accepted on 11 February 2023
 
Controlling traffic has been a problem in the past for a very long time. The technological age demands it. Nowadays, one of the primary means of technological advancement is the automobile. Intelligent Transportation Systems, also referred to as Intelligent Traffic Systems, use communication and information technology to address traffic control issues. The primary issue in transportation is the intelligent transportation system. A programme is ITS. By utilising sensors and connectivity, it is used to increase the effectiveness of transportation through sophisticated technologies. Through the use of the most recent traffic management systems, several issues, such as traffic congestion and low safety, can be resolved. The use of information, control, and electronic technologies that are based on wireless and wired communication enhances ITS.
 
TFP; Traffic Congestion; Datasets; Deep learning
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-0244.pdf

Preview Article PDF

V Chandra Sekhar Reddy, Srikanth Ganji, Mudavath Mohan Nayak, Medaboina Manish Yadav and Guddeti Deepak Reddy. Survey on traffic flow prediction for intelligent transportation system using machine learning. World Journal of Advanced Research and Reviews, 2023, 17(2), 460-463. Article DOI: https://doi.org/10.30574/wjarr.2023.17.2.0244

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 International Journal of Science and Research Archive - All rights reserved

Developed & Designed by VS Infosolution