Exploring the Effectiveness of Driver Monitoring Systems on the Progression of Driver Fatigue

Abstract

Driver monitoring systems (DMS) can detect early signs of driver fatigue and issue timely warnings to prompt behavior modification, which may bring about significant impacts on fatigue progression compared with the traditional non-alarm driving environment. However, past studies rarely explore the effect of DMS on driver fatigue progression. To address this gap, our study analyzes eye-tracking, electrocardiogram, and vehicle behavior data from a driving simulator. The driving environment is manipulated by providing or withholding fatigue warnings. Principal component analysis is employed to extract fatigue indicators. The results show that real-time feedback from DMS enhances fatigue management and slows its progression. The impact on driving behavior is minimal among alert drivers but becomes increasingly significant as the fatigue intensifies, particularly at moderate and severe fatigue stages. Furthermore, DMS interventions can promote safer and more responsible driving habits, such as sustained alertness and consistent throttle control.