测控技术2011，Vol.30Issue(5)：73-76,80,5.
基于遗传模糊算法的高速公路入口匝道自适应控制
Adaptive Control of On-Ramp Metering for Highway Based on Genetic-Fuzzy Approach
李斌丽 1曲仕茹1
作者信息
- 1. 西北工业大学,自动化学院,陕西,西安,710129
- 折叠
摘要
Abstract
The problem of on-ramp metering of freeway network is dealt with. In order to reduce the peak hour congestion, an adaptive control way is proposed to solve this problem. In a macro-dynamic model, a genetic algorithm is used to tune the fuzzy sets parameters so that the total time spent in the network remains minimum.In an adaptive scheme, the destination independent MetaNet model is used to tune the controller' s parameters and present the simulation results. To evaluate the efficiency of the method, the test results were examined and compared with traditional Alinea controller and genetic-fuzzy ramp metering without adaptive controlling. The results shows that the proposed adaptive genetic-fuzzy control is expected to enhance the performance of the freeway traffic network control while keeping the computational simplicity of the problem.关键词
入口匝道控制/模糊控制/遗传算法/MetaNet模型Key words
on-ramp metering/ fuzzy control/ genetic algorithm/ MetaNet model分类
信息技术与安全科学引用本文复制引用
李斌丽,曲仕茹..基于遗传模糊算法的高速公路入口匝道自适应控制[J].测控技术,2011,30(5):73-76,80,5.
