A host of basic road networks, although the shapes are the same, they are overwhelmingly different for the travel users. With the wide application of big data, we use the structure of the basic road network and the number of road lanes, traffic flow, accident, driving behavior (rapid acceleration, sharp turn, sudden braking) and congestion level identify and analysis the feasible planning points of the urban basic road network, and summarizes the characteristics of various hazardous road sections and the corresponding risk levels. This paper fills in the gaps of hazardous intersections identified by big data in terms of dangerous driving, and has a breakthrough conclusion in identifying the basic road network and hazardous intersections. Finally, a targeted improvement method for this hidden danger intersection is proposed to improve the safety of intersections.

CICTP