结合部路网交通流参数关联度分析方法研究

Parameter Correlativity Analysis of Traffic Flow in Area Connecting Highway and Urban Expressway Networks

以高速公路与关联城市快速路结合部路网为研究对象,针对结合部路网数据的复杂性和异构性,以灰色关联度为研究基础,针对灰关联度不满足平行性和一致性的问题,对一般关联度运用一阶差分和二阶差分修正的方法进行模型改进,从而建立二阶趋势关联度模型。最后以G2高速公路与北京市结合部路网实际数据为例,验证了改进的二阶趋势关联度模型的有效性,为结合部路网的智能预测和智能交通控制提供基础数据支持。

With the road network in the area connecting the highway and urban expressway networks as the study object and in view of the complexity and heterogeneity of the traffic flow data of the area, the paper improves on basis of the gray correlation analysis for its lack of parallelism and consistency using the first and second order difference correction method and formulates a twoorder trend correlation model. At the end, using ac tual data from the road network connecting the G2 highway and Beijing city expressway, the paper demonstrates the effectiveness of the improved model.