Driver Monitoring Systems (DMS) play an important role in improving road safety by actively monitoring driver behaviour and alertness while driving. The Cipia-FS10 device, distinguished by its cutting-edge computer vision capabilities, expands its ability to increase driving safety. This revolutionary technology meticulously records critical variables such as head position, eyelid movement, and gaze direction, delivering an instantaneous assessment of the driver’s condition. The study focuses on examining warnings generated by the DMS, which was incorporated into ten buses running along the renowned NH-65 Inter-Urban corridor, stretching 200 km from Hyderabad to Vijayawada (HYD-VIJ). The article aims to examine the risky behaviours displayed by bus drivers along this route, resulting in increased road safety awareness and actions. The graphical depiction of alert frequency constantly coincided with evident trends, clearly demonstrating the DMS technology’s effectiveness. In addition, the study used a grey relation analysis approach to categorise alerting kinds and locations, revealing significant differences in alert creation. The findings from this study revealed an additional hierarchy of alert kinds and their relative importance in various areas of alert occurrence patterns. The spatial distribution of these notifications is visually represented as a heatmap. These findings contribute significantly to establishing a safer driving environment by methodically interpreting alarm patterns, highlighting DMS’s critical role in modern vehicle safety systems.