Fuzzy Traffic Lights Controller Based on PLC

Autor: Yassine Toumi, Mounir Bouhedda, Hamza Benyezza, Samia Rebouh
Rok vydání: 2020
Předmět:
Zdroj: Artificial Intelligence and Renewables Towards an Energy Transition ISBN: 9783030638450
DOI: 10.1007/978-3-030-63846-7_42
Popis: This paper aims to setup of an intelligent system based on fuzzy logic for controlling the traffic light of an intersection using a programmable logic controller (PLC). A set of data is collected by the controller to determine the best switching time of the lights by minimizing the average waiting time of the drivers. The controller, which contains two internal fuzzy controllers, is used to obtain the adequate phase of the traffic light cycle and its duration. After validation of the proposed architecture using MATLAB, the synthesized intelligent controller is mathematically described in detail and simplified in order to perform the corresponding PLC program where modular programming is adopted. An intersection model with a Human-Man Interface is realized and connected to the programmed PLC (S7-300 of Siemens). The results of tests and comparisons against the time interval algorithm systems gave good performance, where the average waiting time is reduced considerably, for over than 25 s and 11 s less for a flow of 800 and 1200 vehicles/hour respectively.
Databáze: OpenAIRE