Abstract: This study constructed an analysis method of urban agglomeration association network based on large data of highway traffic flow, applied it to analyze Beijing Tianjin Hebei urban agglomeration, and provided policy recommendations for the coordinated development of Beijing Tianjin Hebei areas. By empirical analysis, based on Hebei Province highway toll data，the paper established an OD matrix in middle and south of Hebei urban agglomeration, and by combining with the urban GDP, population and geographical location and other factors, the paper did the statistical analysis on the city level and charges station level of traffic flow distribution to reveal the traffic flow characteristics in middle and south of Hebei urban agglomeration and Beijing Tianjin and the surrounding areas; further, by using the gravity model to simulate the traffic flow of urban agglomeration, the application of the large data of traffic flow in the urban agglomeration association network is deepened. The results showed that the distribution of traffic flow in Mid southern Hebei region is differentiation between internal travel which is near and external travel which is border crossing. The association network of Mid southern Hebei region is weak, the degree of integration is root high,the influence range of shijiazhuang is limited,and the core and connection of the network should be strengthened. Finally,the suggestions on accelerating the construction of Beijing Tianjin Hebei traffic big data platform were given for exploring the big data open sharing and economic operation monitoring and early warning and other national big data strategies.

Key words: highway traffic flow, big data, Beijing Tianjin Hebei urban agglomeration, association network