中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (1): 50-55.doi: 10.16265/j.cnki.issn1003-3033.2018.01.009

• 安全系统学 • 上一篇    下一篇

多因素影响下高速公路突发事件安全预警模型

陈玲玲1, 李凤2 副教授, 杨家其1 教授, 汪健2   

  1. 1 武汉理工大学 交通学院,湖北 武汉430070
    2 交通运输部管理干部学院 现代交通运输发展研究中心,北京 101601
  • 收稿日期:2017-11-01 出版日期:2018-01-28 发布日期:2020-09-28
  • 作者简介:陈玲玲 (1984—),女,河北唐山人,博士研究生,主要从事交通运输安全、物流风险与应急管理等方面研究。E-mail:624902353@qq.com。
  • 基金资助:
    国家社会科学基金青年项目资助(13CGL150)。

Safety early warning model of freeway emergency influenced by multiple factors

CHEN Lingling1, LI Feng2, YANG Jiaqi1, WANG Jian2   

  1. 1 School of Transportation, Wuhan University of Technology, Wuhan Hubei 430070, China
    2 Research and Development Center, Transport Management Institute Ministry of Transport of the People's Republic of China,Beijing 101601, China
  • Received:2017-11-01 Online:2018-01-28 Published:2020-09-28

摘要: 为有效预防和及时处理高速公路突发事件,采用定性与定量相结合的方法,建立高速公路突发事件安全预警模型。首先,分析道路交通、道路条件和异常天气等多因素对高速公路安全性的影响,建立基于交通运行状态、道路结构状态和天气状态的预警指标体系,构建高速公路突发事件安全预警状态识别基本模型和3个安全预警子模型;然后,采用演算方法分析不同情况下的安全预警值浮动范围,划分安全态、准安全态、准危机态和危机态4大预警级别及3条预警线,最后通过实例验证所建模型的有效性。研究表明:用所建立的安全预警模型可识别高速公路突发事件,及时发现高速公路的安全隐患,提升高速公路安全管理水平。

关键词: 高速公路, 突发事件, 安全预警, 影响因素, 运行状态

Abstract: To prevent and deal with emergencies on the freeway in time, a basic model and three submodels were built for early warning of emergencies on freeway. The vehicular traffic, driver behavior, freeway condition and abnormal weather, were identified as the factors influencing freeway emergencies. Three safety early warning indexes of traffic, road operation and weather state were proposed. A safety warning signal output diagram was used to show the operation state of freeway at different times. The effectiveness of the model and the submodels was tested by data on a certain traffic accident happened on the Jing-Shen freeway. The research shows that the model and the submodels can be used to identify the possible crisis, find the hidden danger in the freeway in time, and accurately reflect the safety state before and after the emergency.

Key words: freeway, emergencies, safety early warning, influencing factors, running state

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