IOT based Smart Traffic Light Control System

Anna Merine George, V. I. George, Mary Ann George

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages148-151
Number of pages4
ISBN (Electronic)9781538607961
DOIs
Publication statusPublished - 12-12-2018
Event2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018 - Kannur,Kerala, India
Duration: 23-03-201824-03-2018

Conference

Conference2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018
CountryIndia
CityKannur,Kerala
Period23-03-1824-03-18

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Computer Networks and Communications

Cite this

George, A. M., George, V. I., & George, M. A. (2018). IOT based Smart Traffic Light Control System. In 2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018 (pp. 148-151). [8574285] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCPCCT.2018.8574285