DocumentCode
1896016
Title
Study on Traffic Accidents Prediction Model Based on RBF Neural Network
Author
Yu Rujun ; Liu Xiuqing
Author_Institution
Shandong Univ. of Technol., Zibo, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
Road traffic accident prediction is to provide traffic safety change trend for road safety administrator institution.Based on the analysis of road traffic accident,a set of RBF neural network model which are applied to forecast traffic accident are presented.The RBF neural network model used to predict and extrapolate the number of death and economy lose of 2000~2006.The result shows the forecasting model is precise and feasible.
Keywords
radial basis function networks; road accidents; road safety; road traffic; traffic engineering computing; RBF neural network; forecasting model; road safety administrator institution; road traffic accident prediction model; traffic safety; Accidents; Artificial neural networks; Biological system modeling; Computational modeling; Mathematical model; Predictive models; Roads;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Electronic_ISBN
2156-7379
Type
conf
DOI
10.1109/ICIECS.2010.5678126
Filename
5678126
Link To Document