基于改进遗传算法的模糊神经限速研究

Fuzzy neural network researching for speed limit on expressway based on the improved genetic algorithm

提出了一种基于改进遗传算法的高速公路模糊神经网络限速控制方法,其特点是能够适应各种高速公路的车辆状态、气候条件、路面状况下的自适应控制方式。该文详细介绍了这种方法的设计思想、模糊神经网络结构及其实现,并经行了仿真试验。仿真结果表明,该方法能够适应各种车辆状态、路况和天气情况的变化,可使高速公路通行能力增加、行程时间减少,并且有效的减少事故的发生和降低驾驶员的驾驶强度。

A fuzzy neural network based on the improved genetic algorithm is proposed to limit the speed on expressway, which is able to adapt to the characteristics of its various state highway vehicles, weather conditions, road conditions. Design ideas, fuzzy neural network architecture and implementation are given particularly. Simulation study is carried out and the results show that the method can adapt to various types of vehicles, traffic and weather. The approach can increase the capacity of highways, reduce travel time and effectively decrease the incidents and intensity.