Traffic accidents forecasting based on neural network and principal component analysis

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. © Maxwell Scientific Organization, 2013.