As auto-driving technologies advance, the driver monitoring system (DMS) has shifted from a premium option to a standard feature of passenger vehicles. However, the compatibility and coordination between the DMS and the main active safety functions (ASF) of vehicles, such as automatic emergency braking (AEB), forward collision warning (FCW), lane departure warning (LDW) and lane keeping assistance (LKA), have been rarely studied. To fill this research gap, this study first categorized unsafe driving risks into three levels, which serve as a quantitative basis for DMS activation; Then, a novel collaboration model between DMS and ASF is constructed, which outputs dynamic ASF adjustment strategies based on the driver’s status. A multi-dimensional quantitative evaluation indicator system is then constructed to assess the effectiveness of the proposed model and the corresponding strategies. Moreover, controlled tests are performed to verify the model’s effectiveness, and validation tests are performed to confirm that it cannot only enable adaptive optimization of the warning timing and intervention intensity of ASFs, but also balance safety redundancy and driving experience. This study realizes coordination between the DMS and vehicles’ ASFs and provides a reference for optimized design of safety functions of intelligent vehicle safety systems.