| 基于粒子群优化的模糊交通控制器设计研究 |
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| 引用本文： | 林金辉,张允洁,聂建强,徐大林.基于粒子群优化的模糊交通控制器设计研究[J].指挥控制与仿真,2013,35(5). |
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| 作者姓名： | 林金辉 张允洁 聂建强 徐大林 |
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| 作者单位： | 江苏自动化研究所,哈尔滨工业大学,江苏自动化研究所,江苏自动化研究所 |
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| 摘 要： | 城市中往往存在着一些关键路口,其交通通畅与否会对周围的路网的交通流起着很大的影响,需要优先保持此路口的通畅.针对以上情况,设计了基于上下游交通信息的二级模糊交通控制器来对路网进行协调控制.在此基础上，本文提出了针对交通特性改进的粒子群优化算法(TIPSO),并采用TIPSO对第一级模糊规则进行优化,实验结果表明TIPSO对模糊规则具有较好的优化效果,能够离线训练获取到比人工设定的更优的模糊规则.
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| 关 键 词： | 粒子群优化算法 模糊规则 二级模糊交通控制器 交通仿真 |
Research and Design of Traffic Fuzzy Controller Based on Particle Swarm Optimization |
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| linjihui,zhang yun jie,nie jian qiang and xu da lin.Research and Design of Traffic Fuzzy Controller Based on Particle Swarm Optimization[J].Command Control & Simulation,2013,35(5). |
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| Authors: | linjihui zhang yun jie nie jian qiang and xu da lin |
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| Institution: | Jiangsu Automation Research Institute,Harbin Institute of Technology,jiangsu Automation Research Institute,jiangsu Automation Research Institute |
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| Abstract: | There are many key junctions in the urban city, which play a high priority to maintain traffic flow of this area. A new kind of two-stage fuzzy traffic controller which takes consideration of its adjacent traffic states is presented to solve this problem.Besides, a modified particle swarm optimization(PSO) algorithm for traffic control optimization is proposed, which is named Traffic Improved Particle Swarm Optimization (TIPSO), and the first-stage of the fuzzy controller is optimized by TIPSO. The experimental results show that we can get better traffic controller rules by using the TIPSO. |
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