Research on traffic flow algorithm

被引:0
作者
Li, Xiaoying [1 ]
机构
[1] Changsha Univ Sci & Technol, Col Elect & Informat Eng, Changsha 410076, Hunan, Peoples R China
来源
2014 SIXTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA) | 2014年
关键词
Traffic Flow; Toll System; Error Ratio; BP Network; RBF Network;
D O I
10.1109/ICMTMA.2014.135
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the development of highway toll system is more and more perfect, the intelligent toll system attracts more and more attentions and gets very wide application. With the development of computer, communication and network technology communication technology, the toll system also has intelligent and network management. Tool system collects unremittingly a lot of toll flow date and other traffic information. We can predict traffic flow using the date of toll system base on neural network. At the paper, using the BP network and RBF network algorithm respectively, obtaining error ratio of each kind of vehicle type and total error ratio. Comparing result show which algorithm has low error rate.
引用
收藏
页码:556 / 560
页数:5
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