摘要
提出了以联网收费数据为基础的决策数据库构建方法,阐述了高速公路上4种车流的影响范围和特点。根据事故对车辆的不同作用机理,分别对每种分类车型的特点做出分析,将事故路段车流比例作为影响区域判定的评价指标,提出了高速公路事故影响区域模糊决策模型。辅以车牌归纳、常态数据分析参考等方法,运用实例分析对事故路段影响范围分析方法的应用进行了说明与拓展。基于基础数据库研发出了事故影响区域分析软件。经验证,该判定方法可行,便于决策者对交通事故现场有效管理。
A method of utilizing toll collection data to construct decision-making database is innovatively proposed, and the affected areas and characteristics of 4 kinds of traffic flow existing in freeway network are elaborated. According to different mechanisms of accidents impact on vehicles, the characteristics of each classified kind of vehicle is analysed. Taking proportion of each traffic flow of the section where accident occurred as evaluating indicator for decision of major affected areas, the fuzzy decision-making model of the affected areas is proposed. Supported by analysis of license plate and reference to traffic flow under general situation, the application of the analysis method for affected areas is well described and developed by an example. The analysis software for affected areas is developed based on the basic database, which has been proved feasible and convenient for decision-maker to control accident scene efficiently and practically.
出处
《公路交通科技》
CAS
CSCD
北大核心
2013年第8期134-139,共6页
Journal of Highway and Transportation Research and Development
基金
交通运输部交通建设发展前期工作费研究项目(2010-4-2)
关键词
交通工程
影响区域
模糊决策模型
收费数据
高速公路
交通事故
traffic engineering
affected area
fuzzy decision-making model
toll collection data
freeway
traffic accident
