Research on Traffic Flow Base on Neural Network

摘要：

The traffic flow according to toll vehicle type classification spends greatly and the data is inaccurate. But the traffic flow according to traffic investgation classification may obtain easily from intelfigent toll station. Using neural networks ways transform charge flow into traffic investigation flow, Building-up transformation model, programming in MATLAB, Obtaining error ratio of each kind of vehicle type and total error ratio. It can utilize fully the advantage of the toll-gate. Every toll-gate has the charge record to all kinds of vehicles type in the process charging. The research can cut down the cost of the traffic survey,and make full use of the traffic survey data.

关键词： traffic flow radial basis function MATLAB error ratio

作者: Xiaoying Li Yongzhi Li JianXin Liu

作者单位: College of Electrical and Information Engineering Changsha University of Science &Technology Changsha 410076, Hunan Province, 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: 302-304

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）