Optimizing self-organizing method in traffic lights with PSO algorithm in a single junction modeled with a cellular automaton

Ilham Aarab, A. Madani, M. Kissi
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Abstract

Among raised solutions for global flow optimization in traffic jam, we can quote traffic lights optimization. Several researches treated this problem and proposed different models to solve it. In this paper, we will use the cellular automaton to model the traffic flow in crossroads and the self-organizing method to control traffic lights and then we will apply the PSO algorithm to get the appropriate values of parameters for self-organizing method. We will demonstrate that PSO algorithm provides an optimal solution in order to improve the global flow.
基于元胞自动机模型的单路口交通信号灯PSO算法优化自组织方法
在提出的交通阻塞全局流优化的解决方案中,我们可以引用红绿灯优化。一些研究针对这个问题提出了不同的模型来解决它。本文将使用元胞自动机对十字路口的交通流进行建模,并使用自组织方法对交通灯进行控制,然后使用粒子群算法获得自组织方法的适当参数值。我们将证明粒子群算法提供了一个最优解,以改善全局流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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