DRIVERS FATIGUE EVALUATION BASED ON OCULAR AND BEHAVIOURAL-OBSERVER RATED SLEEPINESS INDICATORS
Fatigue is a major factor contributing to traffic accidents. The ability to detect fatigue while driving is very important. This study aims to evaluate driver fatigue based on driver’s behavior (Behavioural-Observer Rated Sleepiness) and ocular indicators (blink duration and frequency). The study wa...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/43075 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Fatigue is a major factor contributing to traffic accidents. The ability to detect fatigue while driving is very important. This study aims to evaluate driver fatigue based on driver’s behavior (Behavioural-Observer Rated Sleepiness) and ocular indicators (blink duration and frequency). The study was designed with a field experiment framework. A total of 12 male drivers (aged 35.58 ± 3.58 years) were asked to drive a car from Bandung to West Bekasi and to Bandung again for approximately 6 hours. The within-subject factor used in this study is traffic density (A, B, C, D, and E). A blackvue camera was placed in front of the driver to record facial expressions and movements, ocular indicators, also body positions and movements continuously throughout the experiment. All fatigue indicators were measured every 20 min resulting in 20 data points. Similarly, Swedish Occupational Fatigue Inventory (SOFI) scores was used to assess the fatigue perceived by participants. The results of this study indicate that fatigue is not only influenced by driving duration, but also influenced by traffic density factors (p <0.05). The highest fatigue occurs at the 120th minute of the away trip session and the 80th and 160th minute of the return trip session. A break time of 15 minutes after driving for 2.5 hours can recover fatigue. Fatigue management for drivers is used with regulatory and technological approach. The regulatory approach regulates the maximum duration of driving for 2 hours and accompanied by a rest for at least 15 minutes. The camera-based technology approach detects fatigue through driver behavior related to ocular indicators, facial expressions and movements, also body position and movements. When fatigue is detected, there will be a warning alarm to change the driver or to notify the driver to take a rest. |
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