Correlation between driver's factors and traffic accident rate

Xue Mei Chen*, Li Gao, Zhong Hua Wei, Qian Fei Li

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

13 引用 (Scopus)

摘要

Driver's factors are very important for the traffic safety. Questionnaire and BP neural network are used, the neural network structure with different hidden layer, neuron number and transfer function is established considering many parameters, such as age, gender, accumulative driving time, physiological conditions, etc. The optimal neural network structure is obtained to predict the traffic accident rate. The results show that the neural network is available for the prediction of accident rate and the driver subgroups with accident proneness are identified.

源语言英语
页(从-至)697-701
页数5
期刊Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology
33
7
出版状态已出版 - 7月 2007

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引用此

Chen, X. M., Gao, L., Wei, Z. H., & Li, Q. F. (2007). Correlation between driver's factors and traffic accident rate. Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology, 33(7), 697-701.