Correlation Degree Model of Urban Signalized Intersection Group Based on Turning Flows

Abstract

This article analyzes the limitations of calculating correlation degree based on road sections and built correlation model based on the turning flow of the intersection. In addition to the traditional contributing factors, the model considers two other key factors——turning proportion of intersections and signal phase. Therefore, the proposed model can reflect the spatial and temporal heterogeneity between each turning flows on a road section. A case study to four actual intersections is conducted to test the effectiveness of this model. The results show that the proposed correlation model can better descript the relationship of adjunct intersections and find the critical route for signal coordination.