摘要
采用径向基函数预测功能的神经网络,对十字路口的车流量进行实时预测,仿真实验结果表明使用该神经网络对交叉口车流量进行预测可以得到令人满意的结果。
This paper improves traditional BP neura network to forecast traffic flow in time by using radial basis function. The results of simulation test show that the radial basis neural network can be used to forecast the traffic flow of intersection, and can get satisfying effect.
出处
《农业装备与车辆工程》
2006年第3期41-43,共3页
Agricultural Equipment & Vehicle Engineering
关键词
神经网络
径向基函数
十字路口
智能交通
neural network
radial basis function
Intersection
Intelligent traffic system
