Trafic Intersection Fuzzy Control and Supervision System based on IoT

IoT has the ability to solve the most common problems that we have around us and one of them is urban traffic. This paper aims to implement an intelligent control system based on the fuzzy logic of an intersection by developing a graphical interface of supervision and control through the concept of IoT. The implementation is done through a Raspberry for interfacing and processing, an Arduino and radio frequency (RF) communication modules to connect the intersection to the server. The software solutions are developed in a visual programming environment "Node Red" for the IoT application using Python and JavaScript languages. The test results show the success of the proposed system.