摘要
针对高速公路短时交通量预测,提出了一种基于遗传优化BP网络的预测方法。通过采用遗传算法优化传统BP网络,改善了传统BP网络易陷入局部极小点、收敛速度慢等缺点,同时通过该方法提高了短时交通量预测的精度。通过杭州绕城高速公路的数据回归分析,该方法能较好的实现高速公路交通流量的短时预测。
According to the prediction of short-term highway traffic volume, proposed a forecasting method based on genetic optimization of BP network.This method optimize the traditional BP network by using genetic algorithm, improved the disadvantage of the traditional BP network to fall into local minimum point, slow convergence speed and other shortcomings, at the same time the method can improve the precision of short-term traffic flow prediction. The regression results of highway-ring around Hangzhou data shows that this method can realize the highway traffic flow short-term forecasting better.
作者
宋迪
陈国定
刘屹
Song Di Chen Guoding Liu Yi(Zhejiang University of Technology, Hangzhou 310023, China Hangzhou Ganxiang Science and Technology co., LTD, Hangzhou 310051, China)
出处
《现代交通技术》
2017年第2期56-59,共4页
Modern Transportation Technology
关键词
BP网络
遗传算法
交通流预测
BP network
genetic algorithm
traffic flow prediction
