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Keeichi Uchimura
Kumamoto University
Computer Science & IT Electrical & Electronics Engineering

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Traffic Light Signal Parameters Optimization using Modification of Multielement Genetic Algorithm I Gede Pasek Suta Wijaya; Keeichi Uchimura; Gou Koutaki
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 1: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3003.348 KB) | DOI: 10.11591/ijece.v8i1.pp246-253

Abstract

A strategy to optimize traffic light signal parameters is presented for solving traffic congestion problem using modification of the Multielement Genetic Algorithm (MEGA). The aim of this method is to improve the lack of vehicle throughput (FF ) of the works called as traffic light signal parameters optimization using the MEGA and Particle Swarm Optimization (PSO). In this case, the modification of MEGA is done by adding Hash-Table for saving some best populations for accelerating the recombination process of MEGA which is shortly called as H-MEGA. The experimental results show that the H-MEGA based optimization provides better performance than MEGA and PSO based methods (improving the FF of both MEGA and PSO based optimization methods by about 10.01% (from 82,63% to 92.64%) and 6.88% (from 85.76% to 92.64%), respectively). In addition, the H-MEGA improve significantly the real FF of Ooe Toroku road network of Kumamoto City, Japan about 21.62%.
Co-Authors Gou Koutaki I Gede Pasek Suta Wijaya