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2013 (Vol. 6, Issue: 06)
Article Information:

Traffic Accidents Forecasting Based on Neural Network and Principal Component Analysis

Yu-Rende, Zhang Qiang, Zhang-Xiaohong and Huo-Lianxiu
Corresponding Author:  Yu Ren-de 

Key words:  BP neural network, forecasting, principal component analysis, road traffic accidents, , ,
Vol. 6 , (06): 1065-1073
Submitted Accepted Published
October 31, 2012 December 28, 2012 June 30, 2013
Abstract:

A number of factors may affect the occurrence of road traffic accidents and these factors may exist information overlap, which sometimes even obliterate the real traffic characteristics and the inherent laws. In order to improve the forecasting accuracy of traffic accident forecasting model, this study proposed a new traffic accidents forecasting method based on neural network and principal component analysis. Compared with other models, the results show the model baed on neural network and principal component analysis is more accuracy.
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  Cite this Reference:
Yu-Rende, Zhang Qiang, Zhang-Xiaohong and Huo-Lianxiu, 2013. Traffic Accidents Forecasting Based on Neural Network and Principal Component Analysis.  Research Journal of Applied Sciences, Engineering and Technology, 6(06): 1065-1073.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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