摘要
采集十字路口为期1个月的数据样本,运用逆传播算法建立预测模型,预测该十字路口的交通流。Matlab仿真试验表明,与常规模型相比,逆传播算法的预测模型不但预测精度有明显提高,并且训练时间较短。
In this paper, with the data collected at crossroads for one month, predictive model is es-tablished using back propagation algorithm for estimation of the traffic flow at crossroads. Matlab simula-ted tests show that compared to the conventional model, the predictive model with back propagation algo-rithm has the capacity of higher prediction accuracy and shorter training time.
出处
《工业仪表与自动化装置》
2017年第5期120-123,共4页
Industrial Instrumentation & Automation
基金
长安大学中央高校基本科研业务费资助项目(310832161004)
关键词
交通流
逆传播
预测模型
预测精度
traffic flow
back propagation
prediction model
prediction accuracy
