摘要
在研究交通流量特性的基础上,以交通流量控制为最终目标,建立了基于BP(Back Propagation)神经网络的交通流量预测模型。以某市某三叉口路段为例进行仿真模拟,结果表明预测系统能较准确地预测出交通流量状况。
Aimed at studying characteristics of tragic flow, and achieving the object of tragic flow control, the forecasting modal of traffic flow was established based on the BP （ Back Propagation） neural network. By the example of a three-way intersection in a city, the simulation was carried out. The results show that the forecasting system can predict the traffic flow condition and the performance of the system exactly.
出处
《西南科技大学学报》
CAS
2008年第2期72-75,87,共5页
Journal of Southwest University of Science and Technology
关键词
BP神经网络
交通流量
预测
BP neural network
Traffic flow
Prediction
