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Published on: August 8, 2019
Evaluating the Effectiveness of Camera-Based Fatigue and Distraction Detection Technology in a Rural Truck Driver
Jennifer Cori1, Lauren A Booker, Tracey L Sletten
1From the Institute for Breathing and Sleep, Austin Health, Melbourne, Australia (J.C., L.A.B., M.E.H.); School of Psychology & Public Health, La Trobe University, Bendigo, Victoria, Australia (L.A.B.); Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia (J.C., T.L.S., S.M.W.R., M.E.H.); Utility Creative, Fitzroy, Victoria, Australia (D.S., L.F., K.M.); Seeing Machines, Fyshwick, ACT, Australia (K.M., M.M.); and Department of Medicine, the University of Melbourne, Melbourne, Victoria, Australia (M.E.H.).
Fatigue detection technology (FDT) cabin alarms initially reduced fatigue events in rural truck drivers. However, drivers habituated to the alarms over time, increasing fatigue events.
Area of Science:
- Occupational Safety
- Transportation Safety
- Human Factors Engineering
Background:
- Truck driver fatigue is a significant safety concern in rural transportation.
- Fatigue detection technology (FDT) offers a potential solution to mitigate fatigue-related incidents.
- Understanding driver response to in-cabin alarms is crucial for effective implementation.
Purpose of the Study:
- To evaluate the effectiveness of FDT cabin alarms in reducing fatigue events among rural truck drivers.
- To assess the accuracy of FDT in detecting fatigue events.
- To investigate potential driver habituation to fatigue alarms over time.
Main Methods:
- A longitudinal, naturalistic study design was employed.
- Fatigue events were monitored in 12 rural commercial trucks before and after alarm activation.
- Data analysis focused on comparing fatigue event rates and alarm performance metrics.
Main Results:
- Fatigue events were significantly lower when alarms were active (0.03) compared to when off (0.06).
- A notable increase in fatigue events occurred as the alarm period progressed, suggesting habituation.
- The FDT demonstrated 49% precision, with 32% false positives and 18% misclassified as distraction.
Conclusions:
- In-cabin fatigue alarms initially reduce the rate of fatigue events in truck drivers.
- Driver habituation to alarms leads to a resurgence of fatigue events over time.
- Further research is needed to optimize alarm systems and address habituation.
