@inproceedings{05396d86f40f4b6ebce0964f05fe3888,
title = "IOT based Smart Traffic Light Control System",
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.",
author = "George, \{Anna Merine\} and George, \{V. I.\} and George, \{Mary Ann\}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018 ; Conference date: 23-03-2018 Through 24-03-2018",
year = "2018",
month = dec,
day = "12",
doi = "10.1109/ICCPCCT.2018.8574285",
language = "English",
series = "2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "148--151",
booktitle = "2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018",
address = "United States",
}
