Traffic Management System using Machine Learning Algorithm

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Traffic Management System using Machine Learning Algorithm
Author(s):
Dr.A.Ravi, R.Nandhini, K.Bhuvaneshwari, J.Divya, K.Janani
Keywords:
Traffic Management System, Machine learning, YOLO, Convolution Neural Networks
Abstract
In cities where the number of vehicles continuously increases faster than the available traffic infrastructure to support them, congestion is a difficult issue and it becomes even worst in case of vehicle accidents. This problem affects many aspects as modern society including economic development, traffic accidents, increase in greenhouse gas emission, time spent and health issues. In this context, modern societies can rely on traffic management system to minimize traffic congestion and its negative effects. To address this effects, machine learning based traffic management system (TMS) have been proposed. This proposed system focuses on monitor the vehicles in order to reduce the time spend in traffic signals, detect and prevent traffic congestion and suggest alternative routes to the vehicles.
Article Details
Unique Paper ID: 150994 Publication Volume & Issue: Volume 7, Issue 11 Page(s): 303 - 308
Article Preview & Download

Share This Article

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org