短时段交通流预测的RBF神经网络模型

RBF Neural Network Model for Short-term Traffic Prediction

介绍了基于RBF神经网络的短时段交通量预测模型,并利用该模型对高速公路所采集的数据进行仿真预测分析。预测结果表明RBF神经网络预测方法通过定义合理的网络结构参数可以获得较高的预测精度,能够满足路网调度对短时段交通流预测的需求。

This paper introduced Short-term Traffic Prediction model based on RBF neural network,and then it was used to emulate data from freeway. It showed that RBF neural network can gain good forecasting results through proper definition for network structure and parameter. And this model can satisfy demand of shortterm traffic forecasting for road network commanding and scheduling.