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

Conference Alert

ICM - STEP

International conference on Management, Science, Technology, Engineering, Pharmact and Humanities.

Go To Issue



Call For Paper

Volume 7 Issue 9

Last Date 25 February 2020

About Us

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

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies