基于AHP和混合Apriori-Genetic算法的交通事故成因分析模型 postprint

Abstract: In view of the characteristic of multi-dimensional and multi-layer in traffic accident data, this paper proposed a new model to research the main reasons and potential rules in traffic accidents. The model starts from the four main dimensions such as the drivers, the vehicles, the time-address and the environment, and uses a way which based on AHP and hybrid Apriori-Gentic algorithm to mine causes of accident. First of all, the AHP sorted the importance of the influencing factors about accident. Then on the basis of objective analysis, the model quantified the influencing factors and selected the main influencing factors. Finally the model combined the genetic algorithm with the Apriori to directional analyze the main influencing factors and find the association rules out. The experimental result shows that the model could reduces the generation of useless rules and improves the accuracy of mining, which has certain scientific significance and application value.