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Updated: Aug 7, 2025
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Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
Published on: August 8, 2019
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The Effect of Partial Sleep Deprivation and Time-on-Task on Young Drivers' Subjective and Objective Sleepiness
Nicola Cellini1,2, Giovanni Bruno1, Federico Orsini3,2
1Department of General Psychology, University of Padova, 35131 Padova, Italy.
Summary
Partial sleep deprivation significantly increases driver sleepiness, impacting both subjective feelings and objective measures like Standard Deviation of Lateral Position (SDLP) and PERcent eye CLOSure (PERCLOS). Combining these measures may improve drowsiness detection for fitness-to-drive assessments.
Area of Science:
- Road safety research
- Human factors in transportation
- Sleep science
Background:
- Driver sleepiness is a major cause of road crashes.
- Current methods for assessing fitness-to-drive related to sleepiness are insufficient.
- Standard Deviation of Lateral Position (SDLP) and PERcent eye CLOSure (PERCLOS) are key objective measures of driver state.
Purpose of the Study:
- To investigate the impact of partial sleep deprivation on driver sleepiness.
- To compare the effectiveness of SDLP and PERCLOS in detecting sleepiness.
- To explore the combined potential of SDLP and PERCLOS for drowsiness detection.
Main Methods:
- A within-subject design was employed.
- Participants underwent partial sleep deprivation (PSD, <5 hours sleep) versus a control condition (8 hours sleep).
- Measurements included Standard Deviation of Lateral Position (SDLP) and PERcent eye CLOSure (PERCLOS) in a dynamic car simulator.
Main Results:
- Partial sleep deprivation and time-on-task significantly increased subjective and objective sleepiness.
- Both SDLP and PERCLOS indicated increased sleepiness during a monotonous driving task.
- Objective and subjective sleepiness measures increased over time during the driving scenario.
Conclusions:
- Partial sleep deprivation impairs driving performance and increases sleepiness.
- SDLP and PERCLOS are sensitive indicators of driver drowsiness.
- Combining SDLP and PERCLOS offers a promising approach for enhanced drowsiness detection and fitness-to-drive evaluation.
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