Traffic Management System using Machine Learning Algorithm

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Dr.A.Ravi; R.Nandhini; K.Bhuvaneshwari; J.Divya; K.Janani

Traffic Management System using Machine Learning Algorithm

Authors: Dr.A.Ravi, R.Nandhini, K.Bhuvaneshwari, J.Divya, K.Janani

Unique Paper ID: 150994
Volume: 7
Issue: 11
PageNo: 303-308

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.

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Cite This Article

ISSN: 2349-6002
Volume: 7
Issue: 11
PageNo: 303-308

Traffic Management System using Machine Learning Algorithm

Available:https://ijirt.org/article?manuscript=150994

11 May, 2022

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Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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