基于相关分析的交通流参数修正方法研究

为了更准确地研究交通流模型,最优化利用交通资源,必须进一步提高交通参数数据的质量。以上海市高架道路某路段的交通流数据为样本,分析交通流特征参数的相关特性,提出一种基于统计相关性分析的参数修正数学方法;通过精确的数值计算,确定最为合适的相关性最大的数据关系,以此进行数据的修正。对所研究路段的交通流数据随机采样后进行修正,并与实际数据比较,修正结果在允许误差范围之内,说明该方法可以有效提高数据质量,且该方法对其他数据处理系统也具有借鉴意义。

Modifying of Traffic Flow Data Based on Correlation Analysis

In order to get a more accurate traffic flow model and make optimal use of traffic resource,it is necessary to enhance the data quality.Based on the traffic flow data of certain distance of Shanghai elevated line,the relativity of traffic flow data is analyzed.And a mathematic method of parameter correction based on correlation analysis is given.By precise numerical calculation,the most appropriate and the most relevant data relation is determined to do date modification.The modification results on random samplings from the data of the researched section show that the model is satisfied,and it can improve the data quality efficiently.It is a reference for other information system.