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为了提高交通事故现场的安全性，预防二次交通事故，综合考虑事故现场路段的交通和管理要素特征，建立交通事故现场安全性评价指标体系，准则层为人为因素、车辆因素、道路与环境因素和管理因素，决策层共15个指标.将熵值法和属性识别模型相结合，建立基于熵权的事故现场安全属性识别模型，应用熵权理论，计算评估指标的权重和属性测度.为了验证模型的适用性，把采集到的四组典型高速公路交通事故现场的基本特征数据输入模型，对事故现场的安全性进行评价.结果表明，该模型不仅可以进行事故现场处置方案的安全性评价，也可以进行各方案之间的比较.

Safety Attribute Recognition Model on Traffic Accident Site Based on Coefficient of Entropy

To ensure the safety of traffic accident site and avoid the successive accident happening, the evaluation index system is established based on traffic and management features. The criterion layer includes human factor vehicle factor, road and environment factor, management factor and the decision layer consists of fifteen indexes. Based on the entropy value theory and attribute recognition, the paper also develops an attribute recognition model based on coefficient of entropy. The weight of evaluation index and attribute measurement are calculated by the entropy coefficient theory. To verify the applicability of the model, the collected characteristic data from accident sites is put into the model to evaluate safety degree of the objective site. The results show that the model can not only be used to evaluate the safety condition of the accident site disposing scheme, but to compare the effectiveness of different disposing schemes.