The purpose of this paper is to investigate the interactions between driver manipulation behaviors. Firstly, representative samples from driving behavior dataset were screened. Secondly, four characteristic indicators were constructed. Thirdly, the Apriori algorithm was established for correlation analysis on these four driving behaviors in order to obtain the influence relationship between different driving behaviors. Therefore, the correlation between different undesirable driving behaviors and reveals the intrinsic law of driver manipulation behavior were illustrated, which provided great significance for improving the warning effect and intervention efficiency of automotive active safety systems.