| ANFIS实现的模糊神经网络在交通信号配时优化中的应用 |
| |
| 引用本文： | 崔宝侠,杨继平,徐冰.ANFIS实现的模糊神经网络在交通信号配时优化中的应用[J].信息与控制,2006,35(1):79-83. |
| |
| 作者姓名： | 崔宝侠 杨继平 徐冰 |
| |
| 作者单位： | 1. 沈阳工业大学系统工程研究所,辽宁,沈阳,110023
2. 沈阳重型机械集团有限责任公司,辽宁,沈阳,110025 |
| |
| 摘 要： | 提出一种使用Matlab中的ANFIS模糊神经网络(FNN)工具箱来对传统的模糊控制器进行参数优化的方法，改善了控制器中的隶属度函数形状及分布，并应用于城市单交叉路口的多相位信号配时上．仿真实验证明所提出的算法可以降低车辆平均延误时间，保证车队更顺畅地通过交叉路口．
|
| 关 键 词： | 模糊神经网络 单交叉路口 信号配时 隶属度函数 |
| 文章编号： | 1002-0411（2006）01-0079-05 |
| 收稿时间： | 2005-09-14 |
| 修稿时间： | 2005-09-14 |
Fuzzy Neural Network Realized by ANFIS and Its Application to the Traffic Signal Timing Optimization |
| |
| CUI Bao-xia,YANG Ji-ping,XU Bing.Fuzzy Neural Network Realized by ANFIS and Its Application to the Traffic Signal Timing Optimization[J].Information and Control,2006,35(1):79-83. |
| |
| Authors: | CUI Bao-xia YANG Ji-ping XU Bing |
| |
| Affiliation: | 1. Institute of System Engineering, Shenyang University of Technology, Shenyang 110023, China ; 2. Shenyang Heavy Machinery Group Co., Ltd., Shenyang 110025, China |
| |
| Abstract: | A parameter-optimization algorithm is proposed to optimize parameters of traditional fuzzy controllers with ANFIS(adaptive neuro-fuzzy inference system),a fuzzy neural network toolkit in Matlab.This algorithm improves the shape and distribution of membership functions of the controllers,and is applied to multi-phase traffic signal timing for the urban isolated intersection.All simulation results prove that the proposed algorithm can reduce average vehicle delay time and the vehicles can pass through intersections more smoothly. |
| |
| Keywords: | fuzzy neural network(FNN) isolated intersection signal timing membership function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《信息与控制》浏览原始摘要信息 |
|
点击此处可从《信息与控制》下载全文 |
