Title :
The fuzzy regression prediction of the city road traffic accident
Author :
Yong Luo ; Shibo, Zhang
Author_Institution :
Sch. of Traffic & Auto, Xihua Univ., Chengdu, China
Abstract :
In recent years the number of death and injury in the traffic accident is continue increasing year by year in China, which brings a great lost for social economy. In this paper we mainly studied on the data of traffic accident and follow volume in a certain section of road. Fuzzy regression analysis using fuzzy linear models with symmetric triangular fuzzy number coefficients has been formulated earlier. The goal of this regression is to find the coefficients of a proposed model for all given input-output data sets. And based on the theory of fuzzy mathematics and linear regulation to construct the fuzzy linear regression prediction model, and make an evaluation for the model. Finally, making a fuzzy predict for the accident number in 2010, and provide the scientific evidence for the road security reconstruction.
Keywords :
fuzzy set theory; number theory; regression analysis; road accidents; road traffic; city road traffic accident; fuzzy linear regression prediction model; fuzzy mathematical theory; input-output data set; road security reconstruction; social economy; symmetric triangular fuzzy number coefficient; Belts; Cities and towns; Linear regression; Mathematical model; Predictive models; Road accidents; Road safety; Road transportation; Traffic control; Vehicle safety; fuzzy; predict; regression; safety;
Conference_Titel :
Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3817-4
DOI :
10.1109/ICIMA.2009.5156575