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
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;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5678126
