JOURNAL ARTICLE

REAL TIME TRAFFIC MANAGEMENT SYSTEM

V ParinithaJahnavi ReddyNavya LSRatna V Mulimani

Year: 2022 Journal:   International Journal of Innovative Research in Advanced Engineering Vol: 9 (8)Pages: 261-266

Abstract

Every day, there are more cars on the road, and conventional traffic control techniques can't keep up with the volume of traffic. The traditional method only succeeds in the current environment if the number of vehicles is low; if the number of vehicles increases and becomes disproportionately heavier on one side of the road, the method fails. Our objective is to transition the static traffic signal system into a signal switching system that can manage and monitor signals in real-time. As a result, in this research, the signal switching time will be precisely determined in congested traffic utilizing real-time image detection. This approach may be able to relieve backed-up traffic in a quicker and more effective way.

Keywords:
SIGNAL (programming language) Real-time computing Computer science Traffic signal Traffic volume Traffic congestion reconstruction with Kerner's three-phase theory Floating car data Traffic wave Control (management) Traffic bottleneck Traffic optimization Transport engineering Traffic congestion Engineering Artificial intelligence

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Topics

Traffic Prediction and Management Techniques
Physical Sciences →  Engineering →  Building and Construction
Brain Tumor Detection and Classification
Life Sciences →  Neuroscience →  Neurology

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