改进的道路交通安全灰色聚类评价方法

传统的灰色聚类评价方法在确定灰类白化值时,由于受到样本数据的约束,使得评价只是在样本范围内进行比较,没有真正达到评价的目的。针对这一不足,对传统的灰色聚类评价方法进行改进,通过确立合理有效的评价指标体系,并通过相关规范标准确定灰类白化值,改变传统方法确立灰类白化值的模式,以获得一个更加合理的评价标准,使评价结果更加准确、合理。改进的灰色聚类评价方法有理论依据、算法简单、可操作性强,评价结果能更好的反映道路交通安全状况。将该方法用于3个城市的道路交通安全评价,取得了良好的效果。

Improvement for Road Traffic Safety Gray Clustering Evaluation Method

As determining the gray values, the tra-ditional gray clustering evaluation method compares the evaluation results among the samples due to con-strains related to the sample data, which fails to tru-ly realize the evaluation purposes. In order to im-prove the traditional method, this paper develops a reasonable and effective evaluation standard through a review of the related evaluation standards and by improving the traditional method in determining the gray values, so as to obtain a more reasonable stan-dard which yields more accurate and reasonable re-sults. The improved method has a theoretical basis and its algorithm is simple, and easier to execute, with results that can better reflect the traffic safety situation on urban streets. Applications of this method to traffic safety evaluation in three cities have provided more promising outcomes.