Intelligent Traffic Light Control System at Two Intersections Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Method

Along with population, economy, and vehicle use growth, traffic congestion is rapidly spreading in big cities in Indonesia especially capital cities like Bandung. For the purpose of solving congestion problem by decreasing vehicles queue on the streets, a method with ANFIS system is proposed in this study. Using two adjacent intersections at Djuanda-Bandung as case study and ANFIS as controller, the system is divided into two subsystems which are capable of controlling traffic light phase duration for both intersections based on real-time traffic condition. Value of vehicles queue and change of the vehicles queue are used as ANFIS input. ANFIS will give an output as street urgency. Using MATLAB, simulation is run and the result is compared to fixed time cycle system which is conventional system applied to the intersections.