中南大学
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返回首页Modeling nonlinear relationship between crash frequency by severity and contributing factors by neural networks
发布时间：2016-04-27
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- 发表刊物：
- Analytic Methods in Accident Research
- 摘要：
- This study develops neural network models to explore the nonlinear relationship between crash frequency by severity and risk factors. To eliminate the possibility of over-fitting and to deal with black-box characteristic, a network structure optimization and a rule extraction method are proposed. A case study compares the performance of the modified neural network models with that of the traditional multivariate Poisson-lognormal model for predicting crash frequency by severity on road segments in Hong Kong. The results indicate that the trained and optimized neural networks have better...
- 备注：
- .
- 合写作者：
- Wong S.C. (2016), Pei X., Huang H.*, Zeng Q.
- 是否译文：
- 否
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