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 |
卷 | 33 |
期 | 7 |
出版状态 | 已出版 - 7月 2007 |
指纹
探究 'Correlation between driver's factors and traffic accident rate' 的科研主题。它们共同构成独一无二的指纹。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.