道路交通事故分析的模糊模型

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI:10.1109/NAFIPS.1999.781670

S. Cafiso, G. La Cava, V. Cutello

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引用次数: 5

摘要

我们描述了一个使用模糊算法对道路事故进行分类的简单框架。此外，我们还研究了道路状况和环境对道路事故的影响。通过计算机程序和简化模型，采用模糊算法对事故进行分类。该实验研究可作为识别道路故障或道路环境对道路安全的潜在影响的工具。使用模糊算法k-nn，我们能够产生一个模型，即使使用线性和离散隶属函数也能得到很好的结果。我们还强调并深入描述了这项工作的潜在发展:属于同一组因素的变量之间相互作用的非线性;搜索特定的多维模糊逻辑项聚合运算符。

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A fuzzy model for road accidents analysis

We describe a simple framework for classifying road accidents using a fuzzy algorithm. Moreover, we study the role that the road conditions and environment have on road accidents. We classify accidents according to their causes using a fuzzy algorithm through a computerised procedure and a simplified model. The experimental study can be used as an instrument for identification of road failures or potential road environment influences on road safety. Using the fuzzy algorithm k-nn, we were able to produce a model which gives good results even using linear and discrete membership functions. We also highlight and describe in depth the potential development of the work: nonlinearity of the interaction among the variables belonging to the same set of factors; search for specific multidimensional fuzzy logic term aggregation operators.

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18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)

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