Dynamic Traffic Light Control

Intelligent Transport System (ITS) is blooming worldwide. The Traditional Traffic management system is a tedious process and it requires huge man power, to overcome this we have proposed an automatic Traffic monitoring system that has effective fleet management. The current transportation system at...

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Bibliographic Details
Published inInternational journal of recent technology and engineering Vol. 8; no. 6; pp. 3328 - 3331
Main Authors priya, Dr. S. Sasi, S., Rajarajeshwari, G., Indumathi, P., Vinesha, Janani A., Athithya
Format Journal Article
LanguageEnglish
Published 30.03.2020
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Summary:Intelligent Transport System (ITS) is blooming worldwide. The Traditional Traffic management system is a tedious process and it requires huge man power, to overcome this we have proposed an automatic Traffic monitoring system that has effective fleet management. The current transportation system at intersections and junctions has Traffic Lights with Fixed durations which increase the unnecessary staying time which intern harms the environment. An Adaptive traffic light control is implemented using SUMO simulator, that changes the duration of Green and Red light according to the traffic flow. This is an effective and efficient way to reduce the Traffic congestion. The traffic congestion is determined by taking the object count using deep learning approach (Convolutional Neural Network).
ISSN:2277-3878
2277-3878
DOI:10.35940/ijrte.F8609.038620