中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (11): 79-84.doi: 10.16265/j.cnki.issn1003-3033.2017.11.014

• 安全工程技术科学 • 上一篇    下一篇

交通事故类型和违法类型对应分析

刘林1, 傅惠**1 副教授, 吕伟韬2, 胡刚1 教授, 王晨3 副教授, 张喆4   

  1. 1 广东工业大学 机电工程学院,广东 广州 510006
    2 江苏智通交通科技有限公司,江苏 南京 211111
    3 东南大学 智能运输系统研究中心,江苏 南京 210096
    4 昆山市公安局交通警察大队 城北中队,江苏 苏州 215000
  • 收稿日期:2017-07-20 修回日期:2017-09-17 发布日期:2020-10-21
  • 通讯作者: ** 傅 惠(1981—),男,湖北荆台人,博士,副教授,主要从事物流与运输系统建模及优化方面的研究。E-mail:gdutfuhui@hotmail.com。
  • 作者简介:刘 林 (1992—),男,江苏扬州人,硕士研究生,研究方向为道路交通安全、交通控制与智能交通系统。E-mail:775755147@qq.com。
  • 基金资助:
    国家自然科学基金资助(61573110);广州市科技计划项目(201504291250033)。

Analysis of correspondence between type of traffic accidents and types of violations

LIU Lin1, FU Hui1, LYU Weitao2, HU Gang1, WANG Chen3, ZHANG Zhe4   

  1. 1 School of Electro-Mechanical Engineering, Guangdong University of Technology, Guangzhou Guangdong 510006, China
    2 Jiangsu Intelligent Transportation Company Limited, Nanjing Jiangsu 211111, China
    3 Intelligent Transportation System ITS Research Center at Southeast University, Nanjing Jiangsu 210096, China
    4 Public Security Bureau Traffic Police of Kunshan North Squadron, Suzhou Jiangsu 215000, China
  • Received:2017-07-20 Revised:2017-09-17 Published:2020-10-21

摘要: 交通违法是导致交通事故的重要因素,从驾驶者发生交通事故类型及其历史交通违法类型的角度研究危险驾驶行为。利用归一化和阈值法,选取合适的交通违法类型;通过χ2检验交通违法和交通事故两者关联性;再采用对应分析的方法,研究不同交通事故类型对应的主次要相关违法类型,并建立影响程度模型;同时,基于两者的交互影响,对部分交通事故类型和违法类型分类、合并。结果表明:交通事故类型和交通违法类型间有显著的相关性和对应关系,基于这种特性可预防交通事故,预判事故类型。

关键词: 道路安全, 交通事故类型, 历史交通违法类型, 对应分析, 交通安全行为风险

Abstract: Illegal driving usually results in traffic accidents. This paper was aimed at exploring the internal relation between illegal driving and traffic accident by analyzing the drivers' historical behavior. 13 types of illegal driving with relatively high frequencies and abnormal expected values were identified from 184 types of illegal driving by using normalization and threshold method. The correlations between illegal driving and traffic accidents were demonstrated by chi-square test. An influence degree model was built for correspondence between types of traffic accidents and types of illegal driving by the corresponding analysis method. The results show that there is a significant correlation between types of traffic accidents and types of illegal driving, and that for a given driver, a probable traffic accident type can be predicted from his or her driving experience.

Key words: road safety, type of traffic accident, illegal driving, correspondence analysis, risk behavior of traffic safety

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