Abstract

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.

Keywords:

BP neural network, forecasting, principal component analysis, road traffic accidents,

References

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.