| Title | IOT based Smart Traffic Light Control System |
| Publication Type | Conference Proceedings |
| Year of Conference | 2018 |
| Authors | Merine, G. Anna, V. I. George, and M. A. George |
| Conference Name | 2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018 |
| Pagination | 148 - 151 |
| Date Published | 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN Number | 9781538607961 (ISBN) |
| Keywords | Department of Electronics and Communication Engineering, 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. © 2018 IEEE. |
| DOI | 10.1109/ICCPCCT.2018.8574285 |
| Short Title | Int. Conf. Control, Power, Commun. Comput. Technol., ICCPCCT |
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