Comparative analysis of drowsiness and performance in conditionally automated driving and manual driving considering the effect of circadian rhythm

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Qi Zhang (Author) Other; Chaozhong Wu (Author) Other; Sara Ferreira (Author) FEUP; Hui Zhang (Author) Other

Journal

Title: Journal of Intelligent Transportation Systems

Vol. 28 No. 3

Pages: 340-351

ISSN: 1547-2450

Publisher: Taylor & Francis

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Other information

Authenticus ID: P-00X-AEN

DOI: 10.1080/15472450.2022.2130292

Abstract (EN): Drowsiness in manual driving (MD) is influenced by circadian rhythms. Conditionally automated driving (CAD) affects drivers' drowsiness. We conducted a simulator study with 30 participants (every ten subjects in morning group, afternoon group, and evening group) to investigate the effect of circadian rhythm on the changes in drivers' drowsiness and performance in different driving modes. Each subject was required to complete CAD experiment first and MD experiment later, and experienced 8 risk scenarios in each experiment. The self-reported Karolinska Sleepiness Scale (KSS) was recorded by an investigator every time when the subject drove past the scenario as the drowsiness measurement. The speed, acceleration, time-related metrics, and vehicle lane position were collected as the performance measurements. KSS data were statistically analyzed, and the Spearman's Rho test was used to confirm the correlation among performance measurements, KSS, and scenarios. The result of the KSS statistical analysis showed that the effect of circadian rhythm on fatigue in MD groups is consistent with the previous studies, but the existence of CAD changes the effect of the circadian rhythm. Compared with the MD, CAD slowed down the drowsiness growth rate in the morning group and promoted the drowsiness growth rate in the evening group. The brake input rate, mean longitude acceleration, max Standard Deviation of Lane Position (SDLP), and the time to pass (TTP) were significantly related to the driver ' s drowsiness in both driving modes.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12