DocumentCode
3180345
Title
Study on traffic accidents prediction based on BP neural network
Author
Zhang, Aixia ; Li, Xianghong ; Song, Huiying ; Ding, Wen
Author_Institution
Sch. of Energy Sci. & Eng., Henan Polytech. Univ., Jiaozuo, China
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
5174
Lastpage
5176
Abstract
The article starts from factors of people, vehicles, road and environment to traffic accidents, builds the three-layer BP neural network model based on the influence factors of traffic accidents, and trains and predicts the traffic accidents of 1998-2009 years in china. The results show that the BP neural networks model used to predict the traffic accidents is precise and feasible.
Keywords
accidents; backpropagation; neural nets; road traffic; backpropagation; influence factors; three-layer BP neural network model; traffic accident prediction; Accidents; Biological neural networks; Data models; Neurons; Predictive models; Training; Transfer functions; BP neural network; prediction; traffic accident;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location
Deng Leng
Print_ISBN
978-1-4577-0535-9
Type
conf
DOI
10.1109/AIMSEC.2011.6010932
Filename
6010932
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