Traffic safety is a main challenge for the sustainable development of urban transportation. Reasonable coupling classification of safety and driving behavior is conducive to the improvement of drivers’ self-management and urban traffic problems solving. The objective of this paper is to establish a method based on driving behavior to judge the degree of driving safety, which is used to mine the relationship between different driving behavior and driving safety. All the data was gathered from the Beijing taxi drivers’ driving behavior database acquired by OBD equipment. Drivers are classified into three categories: safety, general safety and danger by cluster analysis. In this paper, the graph theory is adopted for data coding and the graph of driving behavior characteristics based on micro driving behavior indicators is established. Graphs can reveal complex data structure relationships and thus the change process of driving behavior was expressed intuitively. It is of great significance to provide reference and basis for optimizing drivers' driving behavior on the security level.

CICTP