Analyzing driver drowsiness: from causes to effects

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Sónia Soares (Author) FEUP; Tiago Monteiro (Author) FPCEUP; António Lobo (Author) FEUP; António Couto (Author) FEUP; Liliana Cunha (Author) FPCEUP; Sara Ferreira (Author) FEUP

Journal

Title: Sustainability

Vol. 12 No. 5, Article 1971

ISSN: 2071-1050

Publisher: MDPI

Indexing

ISI Web of Knowledge - 14 Citations

Scopus - 21 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Civil engineering ; Social sciences > Psychological sciences > Psychology

FOS: Engineering and technology > Civil engineering ; Social sciences > Psychology

Associated Projects

AWAREE - Análise de dados orientada para o estudo da distração e sonolência do condutor

Other information

Authenticus ID: P-00R-ZCG

DOI: 10.3390/su12051971

Abstract (EN): Drowsiness and fatigue are major safety issues that cannot be measured directly. Their measurements are sustained on indirect parameters such as the effects on driving performance, changes in physiological states, and subjective measures. We divided this study into two distinct lines. First, we wanted to find if any driver's physiological characteristic, habit, or recent event could interfere with the results. Second, we aimed to analyze the effects of subjective sleepiness on driving behavior. On driving simulator experiments, the driver information and driving performance were collected, and responses to the Karolinska Sleepiness Scale (KSS) were compared with these parameters. The results showed that drowsiness increases when the driver has suffered a recent stress situation, has taken medication, or has slept fewer hours. An increasing driving time is also a strong factor in drowsiness development. On the other hand, robustness, smoking habits, being older, and being a man were revealed to be factors that make the participant less prone to getting drowsy. From another point of view, the speed and lane departures increased with the sleepiness feeling. Subjective drowsiness has a great correlation to drivers' personal aspects and the driving behavior. In addition, the KSS shows a great potential to be used as a predictor of drowsiness. © 2020 by the authors.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12