Freeway Multi-ramp Intelligent Control Based on Fuzzy Neural Network

Binghua Wu, Aizeng Li, Hui Li
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Abstract

Based on the theory of fuzzy neural network and hierarchical intelligent control, establish system architecture of freeway multi-ramp control, put forward coordination control algorithm of multi-ramp, provide a systemic solution method to realize multi-ramp intelligent control. This method is relatively simple and easy to expand, simultaneity independent on specific freeway mathematical models, possess well adaptability. Moreover use the Matlab software carry through simulation, simulation result show that the algorithm is feasible and effective.
基于模糊神经网络的高速公路多匝道智能控制
基于模糊神经网络和分层智能控制理论,建立了高速公路多匝道控制系统架构,提出了多匝道协调控制算法,为实现多匝道智能控制提供了一种系统的解决方法。该方法相对简单,易于扩展,同时性不依赖于特定的高速公路数学模型,具有较好的适应性。并利用Matlab软件进行仿真,仿真结果表明该算法是可行和有效的。
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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