交通信息与安全2011，Vol.29Issue(3)：60-64,5.DOI:10.3963/j.ISSN 1674-4861.2011.03.015
高速公路入口匝道动态响应调节算法设计
New Algorithm for Dynamic Fuzzy Neural Network in Freeway Entrance Ramp Control
吴明 1范东涛 2李旭宏1
作者信息
- 1. 东南大学交通学院,南京210096
- 2. 江苏省交通规划设计院,南京210005
- 折叠
摘要
Abstract
This paper combined the adjustment strength of fuzzy control and neural network in freeway ramps, and designed fuzzy neural network controller and specially the controller for freeway on-ramps. This methodology considered the optimization of fuzzy principle and chose a few input and output quantities. It used ant colony algorithm training coefficient of network, aiming to control freeway mainline traffic flow, and provided adjusted quantity for ramp controlling rate according to fuzzy principle. At the end, the paper evaluated the adjustment algorithm by simulation. The simulating examples show that this controller can adjust traffic flow to the expected condition rapidly, and stabilize traffic flow density better, and that compared with the traditional method ALINEA, the convergence is faster and the operation is more efficient with better system stability.关键词
交通控制/匝道调节算法/动态模糊神经网络/交通仿真Key words
traffic control/ ramp adjusted algorithm/ dynamic fuzzy neural network/ traffic stimulation分类
交通工程引用本文复制引用
吴明,范东涛,李旭宏..高速公路入口匝道动态响应调节算法设计[J].交通信息与安全,2011,29(3):60-64,5.
