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《现代交通》(Modern Transportation)(年刊)是IVY出版社旗下的一本关注交通建设及运输管理的综合性国际期刊,主要刊登有关交通工程学、系统工程学、道路工程学等领域内最新研究进展的学术性论文、评论性文章和研究综述性文章,旨在为该领域内的专家、学者、科研人员、管理人员提供一个良好的传播、分享和探讨学科研究进展的交流平台,反映学术前沿水平,促进学术交流,把握交通运输技术理论和实践前沿、研究水平和发展方向。本刊可接收中、英文稿件。其中,中文稿件要有详…… 【更多】 《现代交通》(Modern Transportation)(年刊)是IVY出版社旗下的一本关注交通建设及运输管理的综合性国际期刊,主要刊登有关交通工程学、系统工程学、道路工程学等领域内最新研究进展的学术性论文、评论性文章和研究综述性文章,旨在为该领域内的专家、学者、科研人员、管理人员提供一个良好的传播、分享和探讨学科研究进展的交流平台,反映学术前沿水平,促进学术交流,把握交通运输技术理论和实践前沿、研究水平和发展方向。

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ISSN Print:2327-0713

ISSN Online:2327-1027

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Paper Infomation

Evaluation of Factors Affecting Driver’s Behaviors using Association Rule

Full Text(PDF, 466KB)

Author: Jingdian Yang

Abstract: In this paper, association rule mining algorithm is utilized to analyze the correlations of various factors of causing traffic accidents, from which the research model of dangerous driving behaviors is established. In this model, the factors and their correlations include: ability of risk control, ability of driving self-confidence, individual characteristics and incorrect driving operations. Selecting the drivers in the city of Chengdu to be the objects of investigation, a group of valid sample data is obtained. Based on these data, the Support and Confidence for association rules are analyzed. In the process, two stage computing of Apriori algorithm programming is simulated and some important rules are acquired. With these rules, departments of traffic administration can focus on these key factors in their processing of traffic transactions. Through training in drivers’ skills and their physical and mental behaviors, the incorrect driving operations can be greatly reduced and the traffic safety can be effectively guaranteed.

Keywords: Driving Technique, Traffic Safety, Big Data, Association Rules, Apriori Algorithm

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