DOI: 10.5176/2251-2446_CAR15
Authors: I Gede Pasek Suta Wijaya, Keiichi Uchimura, Gou Koutaki, Toshiki Nishihara, Syunta Matsumoto, Shinichi Isigaki and Hiroshi Sugitani
Abstract: This paper presents a new strategy for optimizing traffic light signal parameters using Multi-Element Genetic Algorithms (ME-GA). ME-GA concept is GA-based algorithm, which contains of several traffic light signal parameters. In this research, the ME-GA is integrated with the AIMSUN6.1 simulator for finding out the best traffic signal control parameters. To know the performance of the proposed methods, several experiments were done using simple network model and real network model (Oee-Toroku Kumamoto City Road Network Model). The experimental results show that the ME-GA can work well for tested models which is shown by higher percentage of vehicle flow and less vehicle delay time than those of the real word.
Keywords: traffic signal control, optimization, and GA
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