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Association Rule-Based Traffic Accident Impact Factors Analysis on Low-Grade Highways

机译：基于关联规则的低等级公路交通事故影响因素分析

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摘要

Traffic safety is a wide concern that influences the residents' life and property. Low-grade highways in China have characteristics like long mileage, more accidents, and low traffic safety levels. This paper investigates the influencing factors for traffic accidents on low-grade highways using association analysis. The Apriori algorithm was optimized to realize multidimensional and multilayer mining, then a model with three levels and 26 related attributes was built. Traffic accident data of low-grade highways in Suichang County, Lishui City, and Zhejiang Province were utilized to evaluate the proposed method. Finally, based on the analysis results of accident attributes and the mining results of association rules, the characteristics of low-grade highway traffic accidents and some attribute combinations that easily lead to accidents were summarized. The results show that the association analysis can be applied to investigate the influencing factors for traffic accidents.
机译：交通安全是影响居民生活和财产安全的广泛问题。中国的低等级公路具有里程长，事故多，交通安全水平低的特点。本文运用关联分析法研究了低等级公路交通事故的影响因素。对Apriori算法进行了优化，以实现多维和多层挖掘，然后建立了一个具有三个级别和26个相关属性的模型。利用丽水市遂昌县和浙江省低等级公路的交通事故数据对所提出的方法进行了评估。最后，根据事故属性的分析结果和关联规则的挖掘结果，总结了低等级公路交通事故的特征和一些容易导致事故的属性组合。结果表明，关联分析可用于调查交通事故的影响因素。

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