Research on Method of the Subsection Learning of Double-layers BP Neural Network in Prediction of Traffic Volume

摘要：

Prediction of traffic volume is the key technology in intelligent transportation systems. BP neural network is universally used in prediction of traffic volume. This research aimed at advancing BP neural networks precision in prediction of traffic flow. The method of prediction of traffic volume was based on the subsection learning of double-layers BP neural network. The improved method was used to predict the traffic volume of Jingshi Road Jinan City,then compared the results maked by subsection-learning method and by common method. Using subsection-learning method,the average relative tolerance was decreased by 2.52％. The improved BP neural network can be used to predict the traffic volume.

关键词： BP neural network traffic volume prediction

作者: Yuming Mao Shiying Shi

作者单位: Department of Information Engineering Shandong Jiaotong University Jinan, China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机电自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 294-297

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）