路段动态交通安全综合评价模型

针对交通信息资源整合工程中, 道路交通安全综合评价所需数据来源多样、异构、动态的特点, 提出以信息融合技术为手段的路段交通安全评价模型, 分析了影响道路交通安全的人、车、路和环境等因素, 确定了从信息资源整合工程中抽取的数据集及频度。在实现过程中, 模型从相关业务数据库中自动提取与道路安全等级相关的因素数据, 根据分类规则生成每个因素的评价矩阵, 利用模糊综合评判公式计算评价向量, 根据最大隶属度原则进行安全性评判。应用模型对西宝高速公路杨凌段交通安全进行综合评价, 其最大隶属度为0.265, 表明该路段交通安全属于较安全。同时发现超速行驶、疲劳驾驶、汽车爆胎和不良天气等因素评分较低, 这与该路段上的事故统计数据相符合。

Synthesized evaluation model of dynamic traffic safety for road section

Aiming at the various, heterogeneous, dynamic characteristics of the synthesized evaluation data for road traffic safety in the integration project of traffic information, an evaluation model of dynamic traffic safety for road section was proposed based on information fusion.The influence factors, such as people, vehicle, highway and environment, on traffic safety were analyzed.The sizes and frequencies of the data sets used in the evaluation model were determined.Factor data correlated with traffic safety were automatically fetched from business database.The evaluation matrix of each factor was generated based on the classifying rules.The safety evaluation was made based on the maximum subordination value calculated by fuzzy comprehensive evaluation formula.The safety evaluation result of Yangling Road Section on Xi'an-Baoji Highway shows that the calculated maximum subordination value is 0.265, which indicates the safety state of the section is safer.Moreover, the factors, such as overspeed, overload, tyre burst and rainy weather, have lower evaluation values.The results are consistent with the statistical data of traffic accidents in the road section.