IOT based Smart Traffic Light Control System

George, Anna Merine and George, V I and George, Mary Ann (2018) IOT based Smart Traffic Light Control System. In: International Conference on Control, Power, Communication and Computing Technologies, 23/03/2018, Vimal Jyothi Jyothi Institute of Engg.college,kerala.

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Abstract

Traffic Congestion and traffic monitoring is one of the important problems all over the world. This work uses IOT and Adaptive Neuro Fuzzy Inference System (ANFIS) to improve traffic conditions. An ANFIS traffic light controller with inputs as waiting time and vehicle density is developed using MATLAB SIMULINK environment. A camera is used to capture the traffic scenes and this image is transferred to the cloud using Arduino UNO and ThingSpeak Platform. The image is then analyzed in the server using ANFIS controller and appropriate control signals are sent to the traffic signals

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: ANFIS; IOT; ThingSpeak Platform; Arduino UNO
Subjects: Engineering > MIT Manipal > Electronics and Communication
Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 11 Jan 2019 09:32
Last Modified: 11 Jan 2019 09:34
URI: http://eprints.manipal.edu/id/eprint/152877

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