Traffic Signal Control Optimization Using Genetic Algorithm andSignaling Model Modification

This paper proposes a traffic signal control optimization using not only Multi-Element Genetics Algorithms (ME-GA) but also modification of signaling model. The aim of this method is to find out the best signaling model for considered network with the ME-GA for defining the optimum signal parameter. In this case, three signaling models are proposed for the considered road networks. Several experiments were carried out using simple network model and real network model (Ooe-Toroku Kumamoto City Road Network) for evaluating the proposed method. The experimental results show that the first signaling model with ME-GA provides the best performance which is shown by higher percentage of vehicle flow and less vehicle delay time than others signaling models for considered networks.