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Abstract
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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
Submitted: October 31, 2012
Accepted: December 28, 2012
Published: June 30, 2013 |
Abstract:
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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.
Key words: BP neural network, forecasting, principal component analysis, road traffic accidents, , ,
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Cite this Reference:
Yu-Rende, Zhang Qiang, Zhang-Xiaohong and Huo-Lianxiu, . Traffic Accidents Forecasting Based on Neural Network and Principal Component Analysis. Research Journal of Applied Sciences, Engineering and Technology, (06): 1065-1073.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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