Title :
Research on the traffic flux forecast based on fuzzy linear regression model
Author :
Wu, Wei ; Yanan, Zhang ; Zhang, Kang
Author_Institution :
School of Automation Science and Engineering, South China University of Technology ,Guangzhou, China
Abstract :
In this paper, the flux forecast model is studied which based on fuzzy linear regression, and the equation parameters of it are determined by fitting degree and ambiguity degree. They are verified by true data of Jinshan Road on Jiangdong strict in Hengyang City. The fitting degree are almost above 0.5, and fitting the average relative deviation is 6.00%.Compared to the general results of the multiple linear regression, the results of fuzzy linear regression forecast flow projections, are more effective than the latter, with better practicality and higher promotion of value.
Keywords :
Automation; Cities and towns; Communication system traffic control; Equations; Linear regression; Mathematical model; Predictive models; Regression analysis; Technology forecasting; Traffic control;
Conference_Titel :
Intelligent Engineering Systems, 2009. INES 2009. International Conference on
Conference_Location :
Barbados
Print_ISBN :
978-1-4244-4111-2
Electronic_ISBN :
978-1-4244-4113-6
DOI :
10.1109/INES.2009.4924767
