journal article·2023-01-16Open access

Physiological and Behavioral Changes of Passive Fatigue on Drivers during On-Road Driving

Jibo He, Zixu Li, Yidan Ma, Long Sun, Ko-Hsuan Ma

Applied Sciences· Volume 13· Issue 2

Abstract

Driver fatigue can be further categorized into passive fatigue and active fatigue based on the task-induced fatigue perspective, with its categorization necessary from a theoretical basis and practical needs. Passive fatigue is caused by mental underload and inactive task engagement, which is considered more hazardous. To facilitate the construction of the driver monitoring system (DMS), the current study aims to investigate the physiological and behavioral changes of passive fatigue. A total of thirty-six participants completed a 90 min driving task on a monotonous highway, during which subjective fatigue level, eye tracking indicators, and driving dynamics were recorded using the Stanford Sleepiness Scale, Smart Eye Pro, and CAN Bus system. Results showed that drivers reported higher levels of fatigue as driving duration increased. An increase in pupil diameters and gaze dispersions were observed during the task. Drivers gradually reduced the control of the vehicle, in which faster speed and lower speed compliance were witnessed. In addition, a compensatory process was found as passive fatigue increased. Drivers tended to lower their standards to maintain the lateral position but recovered their lateral control when they lost control of the car speed. The current study emphasizes the importance of investigating active and passive fatigue of drivers independently, and the unique physiological and behavioral changes accompanied by passive fatigue should be considered in designing driver monitoring systems.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Sleep and Work-Related Fatigue · Ergonomics and Musculoskeletal Disorders · Human-Automation Interaction and Safety

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Psychology, Tsinghua University, Beijing 100084, China

Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong 999077, China

School of Psychology, Liaoning Normal University, Dalian 110136, China

Funding

National Natural Science Foundation of China · Huawei Investment & Holding Co., Ltd.

References (39)

Show source-provided references
1. World Health Organization (2021). Road Traffic Injuries.
2. International Transport Forum (2017). Road Safety Annual Report, OECD Publishing.
3. Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differen-tiation of sleepiness and mental fatigue10.1016/j.jsr.2019.12.015 ↗
4. Desmond, P.A., and Hancock, P.A. (2000). Active and passive fatigue states. Stress, Workload, and Fatigue, CRC Press.10.1201/b12791-3.1 ↗
5. Implications of task-induced fatigue effects for in-vehicle countermeasures to driver fatigue10.1016/S0001-4575(97)00031-6 ↗
6. Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies10.1016/j.trf.2008.11.005 ↗
7. Long-term implications of automated vehicles: An introduction10.1080/01441647.2019.1545286 ↗
8. Effects of Level 3 Automated Vehicle Drivers’ Fatigue on Their Take-Over Behaviour: A Literature Review10.1155/2021/8632685 ↗
9. A method for fatigue detection based on Driver’s steering wheel grip10.1016/j.ergon.2021.103083 ↗
10. Microcomputer analyses of performance on a portable, simple visual RT task during sustained oper-ations10.3758/BF03200977 ↗
11. Mental fatigue measurement using eye metrics: A systematic literature review10.1111/psyp.13828 ↗
12. Predicting driver drowsiness using vehicle measures: Recent insights and future challenges10.1016/j.jsr.2009.04.005 ↗
13. Kahneman, D. (1973). Attention and Effort, Prentice-Hall. [1st ed.].
14. Vigilance Decrement and Passive Fatigue Caused by Monotony in Automated Driving10.1016/j.promfg.2015.07.499 ↗
15. Exploration of the effects of task-related fatigue on eye-motion features and its value in improving driver fatigue-related technology10.1016/j.trf.2021.03.014 ↗
16. Active and passive fatigue in simulated driving: Discrim-inating styles of workload regulation and their safety impacts10.1037/a0034386 ↗
17. Lee, S., Kim, M., Jung, H., Kwon, D., Choi, S., and You, H. (2020). Effects of a Motion Seat System on Driver’s Passive Task-Related Fatigue: An On-Road Driving Study. Sensors, 20.10.3390/s20092688 ↗
18. Electrophysiological frequency domain analysis of driver passive fatigue under automated driving conditions10.1038/s41598-021-99680-4 ↗
19. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences10.3758/BF03193146 ↗
20. Shahid, A., Wilkinson, K., Marcu, S., and Shapiro, C.M. (2011). Stanford sleepiness scale (SSS). STOP, THAT and One Hundred Other Sleep Scales, Springer. [1st ed.].10.1007/978-1-4419-9893-4_91 ↗
21. Changes in mean cerebral blood flow velocity during cognitive task-induced cerebral fatigue in high performance fighter pilots
22. Berry, R.B., and Wagner, M.H. (2014). Subjective and Objective Measures of Sleepiness. Sleep Medicine Pearls, Elsevier.
23. Study on the Effect of Driving Time on Fatigue of Grassland Road Based on EEG
24. Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor10.1016/j.apergo.2017.02.016 ↗
25. Effect of different vibration frequencies on heart rate variability and driving fatigue in healthy drivers10.1007/s00420-003-0493-y ↗
26. Effect of surrounding landscape on driving behaviour: A driving simulator study10.1016/j.jenvp.2009.03.005 ↗
27. Study for the homogeneity of freeway free-flow speed under the state of los-a low density
28. Highway traffic accident features and analysis of effect and adverse weather conditions in zhejiang province
29. Risk of a road accident in rainy weather10.1016/0001-4575(88)90001-2 ↗
30. Correlating vehicle accident number to weather conditions and air quality index in Beijing
31. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, Lawrence Erlbaum Associates.
32. Mind wandering behind the wheel: Performance and oculomotor correlates10.1177/0018720810391530 ↗
33. Effects of average speed enforcement on speed compliance and crashes: A review of the literature10.1016/j.aap.2013.01.018 ↗
34. Moderate is optimal: A simulated driving experiment reveals freeway landscape matters for driving performance10.1016/j.ufug.2021.126976 ↗
35. Stationary gaze entropy predicts lane departure events in sleep-deprived drivers10.1038/s41598-018-20588-7 ↗
36. Eye activity correlates of fatigue during a visual tracking task10.1177/154193129804201514 ↗
37. The eye–mind wandering link: Identifying gaze indices of mind wandering across tasks10.1037/xhp0000743 ↗
38. Gaze-based signatures of mind wandering during real-world scene processing10.1037/xge0000411 ↗
39. The development and use of the Stanford Sleepiness Scale (SSS)